Principal Staff Software Engineer - Storage
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
This role will be based in Mountain View.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
Do you want to build, scale, and evolve the next generation remote managed disk solution for LinkedIn? It is a core building block of the entire LinkedIn stack and will replace local disks for the vast majority of use cases. As a foundational storage solution, it will seamlessly scale to 100 PBs and serve 10s of millions of QPS at ultra low latencies. We aspire for lights out operations, needing no human touch as the site scales to 10s of thousands of servers and beyond. We are a small team working on realizing a big vision. If you are looking for an opportunity to make a big impact, come join us in the Infrastructure Software Engineering group.
Responsibilities:
You will act as a domain expert for Storage Infrastructure at LinkedIn and own architectural decisions
You will partner with customers and leaders to create roadmaps, drive alignments and deliver products
You will lead and mentor teams, while actively building and operating large scale systems
You will define, enforce and continuously raise the bar for craftsmanship at Linkedin, bringing in best practices from the industry
You will build a culture of innovation, with bias for execution
Basic Qualifications:
BA/BS Degree or higher in Computer Science or related technical discipline, or equivalent practical experience
10+ years of industry experience in software design, development, and algorithm related solutions.
10+ years of experience programming in C/C++, Rust, Go, or similar languages
Hands on experience developing large-scale distributed systems, database, remote disk, and storage
5+ years of experience as an architect or technical leadership position
Preferred Qualifications:
MS or PhD in Computer Science or related technical discipline
12+ years experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
12+ years experience in an object-oriented programming language such as C/C++, Rust, Go
Knowledge of multi-threading, concurrency, and parallel processing technologies.
Experience with industry, open-source projects and/or academic research in large-data, parallel and distributed systems
Experience leading high-impact, cross-organization initiative
Suggested Skills:
-Distributed Systems
-Technical Leadership
-Storage systems
-Data infrastructure
-Remote Storage
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $218,000 to $357,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Principal Staff Software Engineer - Advertiser Experience
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or this role can be performed remotely in most locations in the country of employment.
LinkedIn Marketing Solutions (LMS) is the largest and fastest growing scaled B2B Advertising Platform in the world. The LMS engineering team is responsible for building and scaling the technology stack that powers our advertising business including advertiser experiences, ad serving platform and ad products.
The Advertiser Experience org within LMS is the face of LinkedIn to advertisers. Through our suite of first party products, Campaign Manager and Business Manager, and API products, we enable enterprises, small businesses, partners and agencies to run successful advertising campaigns and grow their business. We are looking to hire a Principal Staff Software Engineer to partner with the Director of Engineering on scaling our infrastructure and re-imagining the workflows for our advertisers through AI. The role requires customer empathy, thought leadership, technical vision and the ability to inspire a team of engineers in solving challenging problems.
Responsibilities:
You will build and ship software, drive architectural decisions and implementation across LMS teams.
You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
You will lead cross team/cross-functional discussions and drive alignment on product/technology strategy.
You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.
You will act as one of the primary domain experts to influence technology choices.
You will lead by example to build a culture of craftsmanship and innovation.
Basic Qualifications:
BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience
8+ years of programming experience in Java, C++, C# or similar programming languages
8+ years of experience building large-scale distributed systems, applications or similar experience
Preferred Qualifications:
MS or PhD in Computer Science or related technical discipline.
12+ years of relevant work experience.
Experience with strategic planning, executing on a long term roadmap, team development and scaling processes to support business growth.
Experience designing and building infrastructure and backend services at internet scale.
Experience building and shipping high quality work while achieving high reliability.
Experience utilizing data and analysis in articulating technical problems and in arriving at recommendations and solutions.
Experience leading high-impact cross-org initiatives
Experience in working with AI in consumer facing products
Suggested Skills:
* Building large scale backend services
* Technical Leadership
* Ads domain expertise
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $195,000 to $320,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Principal Staff Software Engineer, AI Training Platform
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
This role will be based in Mountain View, CA, San Francisco, CA or Bellevue, WA.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers hybrid work options, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when your team needs to be together.
As part of LinkedIn's AI Platform group, the AI Training team is responsible for developing and maintaining highly available and scalable deep learning training solutions to power our rapidly growing AI use cases. The team is responsible for scaling LinkedIn's AI model training with hundreds of billions of parameters for all AI use cases from recommendation models, large language models (Generative AI), to computer vision models. We optimize training performance across algorithms, AI frameworks, infrastructure software, and hardware to harness the power of our GPU fleet with thousands of latest GPU cards. The team also works closely with the open source community and has many open source committers (TensorFlow, Horovod, Ray, Hadoop, etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning, and advanced LLM Agents work for Training infrastructure.
As a Principal Staff Software Engineer on the AI Training Infra team, you will play a crucial role in leading and building the next-gen training infrastructure to power AI use cases. You will design and implement high performance AI Training pipeline, data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, data parallelism, Zero, automatic mixed precision and kernel fusion. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention and more.
Responsibilities
- Owning the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
- Designing, implementing, and optimizing the performance of large-scale distributed training for personalized recommendation as well as large language models.
- Improving the observability and understandability of various systems with a focus on improving developer productivity and system sustenance.
- Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team.
- Working closely with the open-source community to participate and influence cutting edge open-source projects (e.g., PyTorch, GNNs, DeepSpeed, Huggingface, etc.).
- Functioning as the tech-lead for several concurrent key initiatives for the Training Infrastructure and defining the future of AI training platforms.
Basic Qualifications:
- BS/BA in Computer Science or related technical field or equivalent technical experience
- 7+ years of industry experience in software design, development, and algorithm related solutions
- 7+ years of experience programming in object-oriented languages such as Python, C++, Java, Go, Rust, Scala
- 5+ years of experience as an architect, or technical leadership position
- 5+ years of experience in the industry with leading / building deep learning systems
- Hands-on experience developing distributed systems or other large-scale systems
Preferred Qualifications:
- MS or PhD in Computer Science or related technical discipline.
- 12+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
- 12+ years of experience in an object-oriented programming language such as Python, C++, Java, Go, Rust, Scala
- 5+ years of experience with large-scale distributed systems and client-server architectures
- Co-author or maintainer of any open-source projects
- Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems
- Familiarity with containers and container orchestration systems
- Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX
Suggested Skills:
- ML Algorithm Development
- Machine Learning / Deep Learning
- Big Data
- Stakeholder Management
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $207,000 to $340,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Sr. Staff Software Engineer, Storage Infra
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
This role will be based in Mountain View, CA.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
Do you want to build, scale, and evolve the next generation remote managed disk solution for LinkedIn? It is a core building block of the entire LinkedIn stack and will replace local disks for the vast majority of use cases. As a foundational storage solution, it will seamlessly scale to 100 PBs and serve 10s of millions of QPS at ultra low latencies. We aspire for lights out operations, needing no human touch as the site scales to 10s of thousands of servers and beyond. We are a small team working on realizing a big vision. If you are looking for an opportunity to make a big impact, come join us in the Infrastructure Software Engineering group.
Responsibilities:
-You will act as a domain expert for Storage Infrastructure at LinkedIn and own architectural decisions
-You will partner with customers and leaders to create roadmaps, drive alignments and deliver products
-You will lead and mentor teams, while actively building and operating large scale systems
-You will define, enforce and continuously raise the bar for craftsmanship at LinkedIn, bringing in best practices from the industry
-You will build a culture of innovation, with bias for execution
Basic Qualifications:
-BA/BS Degree or higher in Computer Science or related technical discipline, or equivalent practical experience
-5+ years of industry experience in software design, development, and algorithm related solutions.
-5+ years of experience programming in C/C++, Rust, Go, or similar languages
-Hands on experience developing large-scale distributed systems, database, remote disk, and storage
-2+ years of experience as an architect or technical leadership position
Preferred Qualifications:
-MS or PhD in Computer Science or related technical discipline
-10+ years experience in software design, development, and algorithm related solutions
-5+ years of experience in a technical leadership position
-10+ years experience in an object-oriented programming language such as C/C++, Rust, Go
-Knowledge of multi-threading, concurrency, and parallel processing technologies.
-Experience with industry, open-source projects and/or academic research in large-data, parallel and distributed systems
-Experience leading high-impact, cross-organization initiative
Suggested Skills:
-Distributed Systems
-Technical Leadership
-Storage systems
-Remote Storage
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Sr. Staff Software Engineer, Security Infrastructure
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid or remote work options, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or this role can be performed remotely in most locations in the country of employment.
Securing data is core to building trust with our members and for LinkedIn's success. Our vision as the Security Infrastructure team is to ensure that every access to data at LinkedIn is safe. Our mission is to make security intuitive, performant, and secure. We build highly
reliable and scalable services and developer-friendly infrastructure that enable engineering teams across the company to create and integrate secure features and proactively protect our members' data. We are responsible for securing all of LinkedIn's microservices, big data, and large scale data systems such as Kafka.
As a Sr. Staff Software Engineer, you will be a key technical leader and role model in our ongoing efforts to execute the vision for our security infrastructure features, and capabilities. We are looking for a technical lead who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. You will foster LinkedIn's culture and values around transformation, collaboration and results. You will work closely with technical leadership and management within and outside our organization to contribute to building best-in-class core systems infrastructure for LinkedIn.
As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, compute platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
If you are passionate about developing and delivering the underlying technology that powers one of the world's most-used internet applications and have the skills and experience to help us take our security infrastructure and services to the next level, we want to hear from you. Apply now to join our team and help shape the future of LinkedIn.
Responsibilities:
• Deliver impact by driving innovation while building and shipping software at scale
• Provide architectural guidance and mentorship to up-level the engineering organization
• Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies
• Design products/services/tools and code that can be used by others while upholding operational impact of all decisions
• Functioning as the tech-lead for multiple key initiatives, identify problems and opportunities and lead teams to architect, design, implement and operationalize systems
• Partner closely with teams within the org and customers to execute on the vision for long-term success of our core infrastructure teams
• Working closely with the open-source community to participate and influence cutting edge open-source projects.
• Keep a platform first approach while designing products/service
Basic Qualifications:
• BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience
• 2+ years of experience in an architect or technical leadership position
• 5+ years of industry experience in software design, development, and algorithm related solutions.
• 5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala
• 5+ years of security experience
Preferred Qualifications:
• 10+ years' experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
• 5+ years' experience with large-scale distributed systems and client-server architectures
• 10+ years programming experience in an object-oriented programming language such as Java, C/C++, Go, Rust, Python, Scala
• Experience in architecting and designing large-scale distributed systems related to data infrastructure, storage, graph, Kubernetes, and platforms.
• Experience in isolating k8s workloads to improve security and performance.
Suggested Skills:
• Technical Leadership
• Distributed Systems
• Systems Infrastructure
• Kubernetes
• Security
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $175,000 - $288,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Software Engineer - Compute Infrastructure
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
Job Description
As a staff member of the Compute Infrastructure team at LinkedIn, you will be charged with building the next-generation infrastructure and platforms for LinkedIn. This is a unique opportunity to work on a high-profile, high-impact ongoing project that will touch every aspect of our engineering organization. Specifically, the LinkedIn Kubernetes Infrastructure team provides an on-premises Kubernetes platform for the entire company. The team provides capability to efficiently create Kubernetes clusters on-demand, build multi-clusters solutions, automate upgrades, and intelligently detect and remediate cluster health, etc.
In this role, you will be responsible for designing and implementing solutions that will enable LinkedIn to scale its Compute Infrastructure to meet the demands of a rapidly growing user base. This will involve working closely with a team of experienced engineers to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment.
Responsibilities:
- You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
- You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
- You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance
- You will communicate with the team, partners and stakeholders.
- You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
- You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale
- You will diagnose technical problems, debug in production environments, and automate routine tasks
Basic Qualifications
- BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
- 4+ years of industry experience in software design, development, and algorithm related solutions.
- 4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages
- Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
Preferred Qualifications
- BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience
- Experience in architecting, building, and running large-scale distributed systems
- Experience with Kubernetes (or similar) Ecosystem
- Experience with Kubernetes controller development, automating cluster management
- Golang coding experience
- Experience with industry, open source, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice
- Experience with open-source project management and governance
Suggested Skills:
-Distributed Systems
-Golang
-Technical Leadership
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000 to $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Software Engineer - Security Infrastructure
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
Location: This role will be based in Sunnyvale, CA, San Francisco, CA or Bellevue, WA.
At LinkedIn, we trust each other to do our best work where it works best
for us and our teams. This role offers a hybrid work option, meaning you
can both work from home and commute to a LinkedIn office, depending on
what's best for you and when it is important for your team to be together.
Team Overview:
Securing data is core to building trust with our members and for LinkedIn's success. Our vision as the Security Infrastructure team is to ensure that every access to data at LinkedIn is safe. Our mission is to make security intuitive, performant, and secure. We build highly
reliable and scalable services and developer-friendly infrastructure that enable engineering teams across the company to create and integrate secure features and proactively protect our members' data. We are responsible for securing all of LinkedIn's microservices, big data, and large scale data systems such as Kafka.
As a Staff Software Engineer, you will play a crucial role in our ongoing efforts to execute the vision for our security infrastructure features, and capabilities. This is a critical role that will touch every aspect of our engineering organization, and we are looking for motivated professionals who have a proven track record of working with engineering teams that can develop large-scale security infrastructure by collaborating with teams across a large organization.
As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, compute platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
If you are passionate about developing and delivering the underlying technology that powers one of the world's most-used internet applications and have the skills and experience to help us take our security infrastructure and services to the next level, we want to hear from you. Apply now to join our team and help shape the future of LinkedIn.
Responsibilities:
You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance
You will effectively communicate with the team, partners and stakeholders.
You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
You will work closely with the open-source community to participate and influence cutting edge open-source projects (e.g., Apache Iceberg)
You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale
You will diagnose technical problems, debug in production environments, and automate routine tasks
Basic Qualifications:
BS/BA in Computer Science or related technical field, or equivalent technical experience
4+ years of industry experience in software design, development, and algorithm related solutions.
4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages
Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
Preferred Qualifications
BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.
Proven experience in designing, developing, and managing large-scale distributed systems.
Experience with industry, Opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice
Strong, in-depth knowledge of the Linux Kernel, including boot modes and initialization
Systems.
Familiarity with Linux Kernel security features such as Kernel Runtime Security Instrumentation (KRSI).
Understanding of Intel and AMD hardware virtualization technologies like SGX, TDX, SPE-VI, SEV-SNP.
Proficiency in eBPF and XDP, as well as security frameworks like Seccomp, SELinux, or AppArmor.
Hands-on experience with Linux containers and Kubernetes, and familiarity with container runtimes such as Containerd, runc, or similar.
System-level programming experience in Go/C or Rust/C++, or distributed systems programming within the Kubernetes ecosystem.
Suggested Skills
API Development
Kubernetes Infrastructure
Workload Security
Java/Golang/Rust/Python
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 - $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Full Stack Software Engineer - Infrastructure Business Engineering
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
This role will be based in our Mountain View, CA campus.
At LinkedIn, we're hiring a staff software engineer to develop and manage infrastructure business operations software and data systems from concept through its production life-cycle. This is a great opportunity to join a globally recognized company experiencing significant growth, and help contribute to the vision of creating economic opportunity for every member of the global workforce. With our successful core product offerings and expanding portfolio of innovative new products and features, our need for highly talented professionals has never been greater!
The successful candidate will lead, build, and manage development and operations of software/data/process solutions to transform data center infrastructure engineering and operations, specifically, hardware forecasting, power capacity planning, financial planning and management, sourcing/procurement/supply-chain management, hardware fulfillment and asset life-cycle management. The candidate will focus on both long-term decisions and the prioritization and execution of short-term actions.
Roles and responsibilities
· Drive Strategy and Vision: Develop the vision and define strategic roadmaps for transforming data center infrastructure operations, leading initiatives to improve business efficiency and operations.
· Analyze and Innovate: Evaluate the current state of systems, identify gaps and opportunities for improvement, and design high-impact solutions. Collaborate with stakeholders to align objectives, plan development, prioritize features, and execute with precision.
· Champion Customer Success: Advocate for customer outcomes, ensuring that solutions deliver measurable ROI and tangible business benefits.
· Architect and Build Distributed Systems: Design and develop distributed applications, making architectural decisions that balance synchronous and asynchronous design patterns. Write high-quality code, ensuring timely delivery with a focus on performance and reliability.
· Develop Scalable Applications: Build multi-tier, user-centric applications that are scalable, high-performing, and reliable, ensuring 24x7 uptime for mission-critical systems.
· Design Backend Systems and APIs: Create robust data models, schemas, and APIs to support seamless backend operations, ensuring efficient data flow and system integration.
· Create Reusable UI/UX Components: Develop and maintain a consistent, reusable UX/UI pattern library to standardize common workflows such as search, list, CRUD operations, reporting, and analytics across applications.
· Ensure Code Quality and Best Practices: Deliver high-quality software that is thoroughly unit tested, code reviewed, and regularly integrated into the development pipeline for continuous integration.
· Provide Technical Leadership: Lead by example, establishing and driving best engineering practices to plan, initiate, and execute large-scale, cross-functional projects.
· Improve Engineering Productivity: Identify and champion opportunities to enhance engineering efficiency and productivity through process improvement, tool development, and knowledge sharing.
· Mentor and Develop Team Members: Mentor junior engineers, guiding them on coding standards, design patterns, and operational best practices to foster growth and improve team capability.
· Support Production Systems: Provide on-call and production support for deployed systems, ensuring operational stability and addressing issues promptly.
Basic qualifications
· BA/BS Degree in Computer Science, Engineering or related technical discipline, or equivalent practical experience
· 5+ years of experience in software design, development, and algorithm related solutions such as database design and development, API development and integration, distributed systems development, version control and software development collaboration tools, etc
· 5+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby.
Preferred qualifications:
Database design and development
· Strong knowledge of database design, data models, schema creation, and optimization.
· Expertise in relational, document-oriented and time series databases such as MySQL, PostgreSQL, Redis, Couchbase, Cassandra, MongoDB)
· Experience with data migration, ETL processes, and database scaling for large datasets.
API Development and Integration
· Experience designing, building, and maintaining RESTful APIs or GraphQL services.
· Strong understanding of API security, authentication (OAuth, JWT), and performance best practices.
· Experience in integrating third-party APIs and services.
· Proficiency in back-end languages (e.g., Python, Go, Node.js, Java) for building scalable services.
UI/UX Development
· Proficiency with front-end technologies such as HTML5, CSS3, JavaScript (ES6+), TypeScript, and modern JavaScript frameworks (e.g., React, Angular, Vue.js).
· Experience with responsive design, cross-browser compatibility, and web accessibility.
· Understanding of design principles and experience collaborating with UI/UX teams to implement intuitive user interfaces.
· Familiarity with front-end state management (e.g., Redux, Vuex) and component-based architecture.
Distributed Systems Development
· Experience building and deploying distributed, scalable, and fault-tolerant systems.
· Familiarity with microservices architecture, event-driven design, and message brokers (e.g., Kafka, RabbitMQ).
· Understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
· Experience with load balancing, caching, and scaling strategies to ensure high availability and performance.
Version Control and Collaboration Tools
· Proficiency with Git and experience in collaborative workflows (e.g., GitFlow, Pull Requests).
· Experience using issue tracking, CI/CD pipelines, and task management tools (e.g., JIRA, GitHub).
Familiarly with LLM Application Stack
· LLMs (GPT, Llama, Gemini)
· Vector databases (Qdrant, ElasticSearch)
· Embedding models (Hugging Face, MixedBread)
· Orchestration tools (LlamaIndex, LangChain)
Suggested Skills:
· Database design and development
· API Development and Integration
· UI/UX Development
· Distributed Systems Development
· Version Control and Collaboration Tools
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $147,000-240,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Software Engineer - Applications
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
Responsibilities:
· You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
· You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
· You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
· You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.
Basic Qualifications:
· BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
· 4+ years experience in software design, development, and algorithm related solutions.
· 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby.
Preferred Qualifications:
· BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.
· Experience in designing and building infrastructure and web services at large scale.
· Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.
· Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming.
· Experience building web applications and services with IDEs, ant, junit, etc.
· Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.
Suggested Skills:
· Technical Leadership
· Architectural Mastery
· Code Review and Quality Assurance
· Advanced Security Practices
· Mentoring and Knowledge Sharing
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 - $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Software Engineer, Data
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day, our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members globally, and a mix of B2B and B2C programs, we offer countless ways for ambitious individuals to have an impact and transform their careers. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture.
The technical foundation team is an engineering team embedded into data science groups in charge of developing robust data foundations and data tooling to empower the rest of the data science team and cross functional teams. This individual will work closely with data science partners and other cross-functional stakeholders, including AI, Product Managers, and Engineering, to tackle a variety of projects. These projects may range from building data foundations and generalized tools to streamlining complex analyses or developing new methodologies. This role is unique in that it allows you to work end-to-end on new initiatives and build data solutions from the ground up.
Responsibilities
• Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from large datasets or automate complex algorithms to enable data-driven decision making.
• Work with cross-functional partners to identify business opportunities and build scalable data solutions and applications.
• Establish efficient design and programming patterns for engineers as well as for non-technical partners. Ensure best practices and standards in our data ecosystem are shared across teams.
• Contribute to engineering innovations that fuel LinkedIn's vision and mission.
Basic Qualifications
• Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
• 5+ years of relevant industry experience.
• Experience with SQL/Relational databases.
• Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript, prefer Python, Java and Scala).
Preferred Qualifications
• BS and 7+ years of relevant work experience, MS and 5+ years of relevant work experience, or Ph.D. and 3+ years of relevant work/academia experience working with large amounts of data.
• Experience working with data pipeline authoring system, such as Airflow, Flyte, DBT
• Good knowledge of using Spark and related development tools
• Familiarity with distributed systems, source control, testing frameworks, and all aspects of developing in large, distributed software teams.
• Build applications and platforms that enable producers and consumers of data insights to work smarter and more efficiently.
• Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences.
• Experience with data products and basic statistics.
• Experience creating data visualizations.
• Proven experience in designing and implementing complex data foundation, emphasizing high-volume, high-reliability, and high-quality datasets.
Suggested Skills
• Experience building data science or machine learning platforms.
• Experience writing RESTful / GRPC APIs with modern frameworks.
• Web App Development
• Technical Leadership
• Hands-on experience in building data pipelines to transform unstructured data into structured formats, with emerging knowledge of leveraging Large Language Models (LLMs) to enhance data processing and transformation workflows.
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 to $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock and benefits. For additional information, visit: **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Software Engineer, iOS - Media SDK
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
Job Description
This role can be based in Mountain View, CA or Bellevue, WA.
Join the Media SDK team at LinkedIn, where we handle all media-related functions across our platform. Our team develops SDK libraries that are integral to LinkedIn's apps, ensuring seamless media integration and high-quality user experiences. You'll work with cutting-edge technologies, collaborate with skilled engineers, and contribute to features that connect millions of professionals worldwide. If you're passionate about media technology and eager to make an impact, we'd love to have you on our team.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
Responsibilities:
· You will design and build multiple media libraries covering image, video etc, which are adopted across Linkedin ecosystem family apps.
· You will follow industry developments and evaluate technologies from Apple, the open source world, and other LinkedIn teams to determine whether we should incorporate them to improve iOS developer productivity.
· You will work with LinkedIn's iOS developer community to understand their needs and propose solutions to accelerate product iteration speed.
· You will demonstrate craftsmanship and produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
· You will provide technical leadership and use engineering best practices to initiate, plan, and execute large-scale, cross-functional, and company-wide projects.
· You will run projects spanning dozens of teams to increase adoption of the latest technologies.
· You will design ways to structure our application and build system to minimize build time in our multi-million line codebase.
· You will constantly look for opportunities to improve trunk health, improve test infrastructure, and optimize build speed.
Basic Qualifications:
· BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
· 4+ years of industry experience in software design, development, and algorithm related solutions.
· 4+ years programming experience in programming languages such as Objective-C, Swift, Java, C/C++, Python, etc.
Preferred Qualifications:
· Deep knowledge of video playback frameworks such as AVFoundation, Core Media, and VideoToolbox.
· Experience with image rendering and processing using Core Graphics, Core Animation, and Core Image.
· Comprehensive knowledge of various media formats (e.g., MP4, MOV, HEVC), codecs, and streaming protocols such as HLS (HTTP Live Streaming)
· Familiarity with hardware-accelerated video decoding and encoding.
· BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience
· Experience in designing and building infrastructure solutions on a large scale.
· Expansive technical knowledge and experience with mobile application development (iOS and/or Android).
· Experience working with iOS development toolchains such as Xcode and test frameworks such as KIF and EarlGrey
· Experience working with Linux and/or Mac OS system environments.
Suggested Skills:
· Technical Leadership
· Architectural Mastery
· Code Review and Quality Assurance
· Advanced Security Practices
· Mentoring and Knowledge Sharing
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 - $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
Manager, Software Engineering - CI Platforms
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
This role will be based in Mountain View, CA.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
The CI platform team within the Developer Platforms and Experience (DPX) org is responsible for providing an automated, instantaneous, efficient, and delightful software delivery pipeline that is used by LinkedIn developers every day. Developer Platforms and Experiences (DPX) organization helps accelerate R&D velocity and drive product innovation. Our vision for DPX is to create capabilities that drastically reduce the iteration time for new features while dramatically increasing the stability and quality of all software at LinkedIn. At the core of this vision is our unwavering commitment to enhancing the developer experience. We automate everything from developing and shipping quality code, dynamically scheduling computing resources, and deploying our code to those resources within LinkedIn world class data centers that power LinkedIn services.
This team specifically owns LinkedIn's CI infrastructure, which we are in the process of migrating from our in-house infrastructure to GitHub Actions. This team also owns LinkedIn's current Microrepo infrastructure, which is undergoing a redesign to move closer to a monorepo-like structure. As a result, we will need to redesign our core engineering system to support the repo structure we envision.
This leadership role is part of the CI Platform team in Developer Platforms and Experiences (DPX) organization where you will get an opportunity to influence, transform, and create an amazing experience for developers at LinkedIn. You will identify, develop, and lead strategic investments to make development iterations faster and make step function improvements in the lives of developers.
This spans multiple areas including but not limited to:
- Providing tools and infrastructure that creates delightful development experience
- Provide and support application frameworks that empower LinkedIn Engineers to build member facing products
- Provide actionable insights that leverages data and metrics
- Provide tools and data that help LinkedIn teams listen to their customers; and most importantly deliver reliable and scalable infrastructure.
You will have the opportunity to engage the industry-wide developer community and contribute to open-source software as well.
Responsibilities:
- You will build and mentor an engineering team that provides Microservice and CI infrastructure and tools that enable all LinkedIn developers to build services for LinkedIn members
- You will work across Engineering to build relationships with other teams and use their feedback and understand their goals to build and prioritize a roadmap for your team
- You will own the design, development, testing, deployment and craftsmanship of your team's infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
- You will leverage your deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
Basic Qualifications:
- BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
- 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training
- 5+ years of industry experience in software design, development, and large-scale software engineering
- Experience programming in object-oriented and/or functional programming languages (like Java/Python/C/C++/Scala/etc.)
Preferred Qualifications:
- MS or PhD in Computer Science or related technical discipline
- 2+ years of hands-on software engineering/technical management and people management experience
- 7+ years industry experience in software design, development, and algorithm related solutions.
- 5+ years programming experience in languages such as Java, C/C++, C#, Python, Go, etc.
- Experience with developing Developer tools and infrastructure, including development and code collaboration environments, CI/CD pipelines and measuring software development productivity and quality.
- Been actively involved in creation and execution of technical strategy and roadmap
- Experience with architectural patterns of large, high-scale systems
- Shipped several large-scale projects with multiple dependencies across teams
- Actively coached and mentored team members in their careers
- Track record in partnering with recruiting to build incredible engineering teams
- Experience with Microservice or Monorepos
- Experience managing hybrid teams across US time zones
Suggested Skills:
- CI/CD Expertise
- Experience working within Dev Prod space
- Software DesignCross-organizational collaboration
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 - $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Software Engineering Manager, Security Infrastructure
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
This role will be based in Mountain View, CA
Team Overview:
Securing data is core to building trust with our members and for LinkedIn's success. Our vision as the Security Infrastructure team is to ensure that every access to data at LinkedIn is safe. Our mission is to make security intuitive, performant, and secure. We build highly reliable and scalable services and developer-friendly infrastructure that enable engineering teams across the company to create and integrate secure features and proactively protect our members' data. We are responsible for securing all of LinkedIn's microservices, big data, and large scale data systems such as Kafka.
As a Manager of the Security Infrastructure team at LinkedIn, you will play a crucial role in our ongoing efforts to drive the vision for our security infrastructure architecture, features, and capabilities. This is a high-profile, high-impact role that will touch every aspect of our engineering organization, and we are looking for experienced professionals who have a proven track record of leading engineering teams that can design and develop large-scale security infrastructure by collaborating with teams across a large organization. In this role, you will be responsible for leading a team responsible for designing and delivering solutions that will enable LinkedIn to scale its security infrastructure and services to meet the demands of a rapidly growing user base. This will involve managing a team of experienced engineers to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment.
If you are passionate about developing and delivering the underlying technology that powers one of the world's most-used internet applications and have the skills and experience to help us take our security infrastructure and services to the next level, we want to hear from you. Apply now to join our team and help shape the future of LinkedIn.
Responsibilities:
· Directly responsible for a team of 5-10 engineers.
· Lead and manage the engineering team with a passion for mentoring and growing top engineering talent.
· Work closely with various other teams ( Applications, Infrastructure teams, etc.) to align on initiatives, leveraging existing solutions, and ensure optimal collaboration.
· As a hands-on manager, you will participate in key technical and design discussions with technical leads in the team.
· Define and leverage best practices for engineering and research to ensure optimal productivity and drive faster iterations.
· Attract world class talent and provide technical guidance, career development, and mentoring to team members.
· Be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.
· Design and deliver world-class high-performance authentication, authorization, secret management, and cryptography solutions for our data centers.
Basic Qualifications:
· BS/BA in Computer Science or related technical field, or equivalent technical experience
· 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training
· 5+ years industry experience in software design, development, and delivery
· 5+ years programming experience in object-oriented programming languages such as Python, Java, Golang, C/C++, C#, Objective-C, or Ruby.
· Experience in large-scale compute infrastructure and large scale distributed systems
Preferred Qualifications:
· MS or PhD in Computer Science or related technical discipline
· 3+ years of hands-on technical management experience
· 7+ years of industry experience
· 3+ years experience in security
· Experience in the design and development of performant, highly available, scalable web applications
· Successful track record of managing teams of engineers to deliver multiple projects on time and with quality
· Hire and retain world-class engineers by providing career growth, mentoring, and high impact projects, while taking intelligent risks to improve the way work is done
· Experience with building and deploying PKI and key management at scale
· Experience in building and deploying application authentication and authorization infrastructure (e.g OAuth)
· Experience in isolating k8s workloads to improve security and performance.
Suggested Skills:
· Technical Leadership
· Distributed Systems
· Big data systems
· Kubernetes
· Security
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $174,000-240,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Distinguished Software Engineer
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunities for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
LinkedIn is looking for a Distinguished Engineer to join LinkedIn's Core Infrastructure organization. As a Distinguished Engineer specializing in performance, efficiency, and collaboration with finance on infrastructure spend, you will play a crucial role in optimizing our technical operations and resource allocation. You will lead efforts to enhance system performance, improve operational efficiency, and work closely with finance to ensure cost-effective infrastructure investments.
Responsibilities:
• Performance Optimization: Drive initiatives to optimize system performance across our technology stack, focusing on scalability, reliability, and speed.
• Efficiency Improvements: Identify opportunities to improve operational efficiency, reduce costs, and streamline processes related to infrastructure and technical operations.
• Collaboration with Finance: Partner closely with finance teams to develop strategies for effective budgeting and spending on infrastructure, ensuring alignment with business goals and financial targets.
• Technical Leadership: Provide technical leadership and guidance to engineering teams, promoting best practices in performance tuning, resource management, and cost-effective infrastructure design.
• Data-Driven Insights: Utilize data analytics and performance metrics to make informed decisions and drive continuous improvements in infrastructure performance and efficiency.
• Cross-Functional Collaboration: Work collaboratively with cross-functional teams including engineering, product management, and operations to integrate performance and efficiency considerations into all phases of product development and deployment.
• Innovation and Research: Stay current with industry trends, emerging technologies, and best practices related to performance optimization, efficiency, and infrastructure management.
Basic Qualifications:
• Bachelor's degree in Computer Science, Engineering, or a related technical field
• 10+ years of relevant work experience.
• Experience in performance engineering, infrastructure optimization, and cloud technologies (AWS, Azure, GCP). Experience in designing and implementing scalable infrastructure solutions.
• Experience in collaborating with finance teams on budget planning, cost analysis, and infrastructure spend management.
• Experience in leading technical initiatives and driving results in a collaborative environment.
Preferred Qualifications:
• Strong understanding of financial principles and experience collaborating with finance teams on budget planning, cost analysis, and infrastructure spend management.
"Suggested Skills"
• Experience in engineering.
• Developing technology strategies at a company-wide scale.
• Technical leadership in Core Infrastructure.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $229,000 to $375,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Senior Software Engineer - Video Processing
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
Job Description
This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
In this role, you will join the Media Infrastructure org which is responsible for handling all media creation and consumption on LinkedIn. Media, and in particular Video, has become a key driver of business growth at LinkedIn. Media Infrastructure org provides a platform for LinkedIn product teams to incorporate Media in their features. We are a small org with a large impactful scope. E.g., optimizations in video performance have moved the needle for LinkedIn's core business metrics.
As a Media specialist, you will be responsible for optimizing media (video, images and/or documents) transcoding processes and tuning encoding parameters to enhance our media delivery capabilities. You will work with a dynamic team of engineers and collaborate on various projects to deliver high-performance media solutions.
Responsibilities
- Define and hold yourself responsible for media quality of experience metrics like video visual quality (VMAF, SSIM etc)
- Integrate video codecs (such as H.264, H.265, VP9, AV1) and optimize them for performance under Linux environments.
- Work with FFMPEG and other media tools to process and manipulate media streams and make modifications as needed.
- Work with a cluster of worker nodes and consider the system level optimizations to improve the overall performance.
- Troubleshoot and resolve issues related to media processing
- Collaborate with cross-functional teams to deliver integrated media solutions.
- Maintain and update technical documentation related to media processing development and integration.
Basic Qualifications
- BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
- 2+ years of industry experience in software design, development, and algorithm related solutions.
- 2+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages
- Experience working in the media processing domain.
Preferred Qualifications
- BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience
- Proficiency in modifying FFMPEG to enhance capabilities.
- Experience with additional video codecs and streaming protocols.
- Experience with Java to implement or modify business logic and media features.
- Proven experience in the development and/or integration of video codecs (H.26x, H.264, H.265, VP9, AV1, etc.) and proficiency in using FFMPEG for video processing.
Suggested Skills
- Distributed systems
- Backend Systems Infrastructure
- Java/Golang/Rust/Python
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $128,000 - $210,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Sr. iOS Software Engineer
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
The Seeker Engineering team, part of LinkedIn's Talent Marketplace Engineering organization, leverages advanced technologies to empower LinkedIn members in their job search and enable employers to find top candidates. This team builds essential components of LinkedIn's job search and recommendation systems and drives substantial business impact. Encompassing various sub-teams, Job Seeker Engineering supports products like Job Search, Job Recommendations, Employer Brand, Jobs Notifications, and LinkedIn Seeker Coach. Together, they create tools and solutions central to the job-seeking experience, a critical area for LinkedIn that drives billion-dollar business impact and helps hundreds of millions of members find new opportunities. Collaborating closely with product, engineering, and infrastructure partners, the team is leading the development of next-generation, AI-driven experiences that will transform the digital job marketplace.
As a Senior iOS engineer, you will be working alongside a multi-platform team of stellar iOS, Android, Web, AI, and Apps engineers, working closely with product managers, designers and other partners to build, architect and deliver a world class experience
Responsibilities
• You will design and execute user-facing features for the native LinkedIn app on iOS devices by leveraging mobile operating system frameworks for multi-threading, persisting data, and managing user experience and graphics across multiple screen sizes.
• You will use the latest cutting-edge technologies and libraries suggested by Apple for building responsive native apps for iOS.
• You will build scalable native mobile apps using LinkedIn's internal libraries.
• You will make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speed and quality.
• You will produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
• You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross-functional, and company-wide critical programs.
• You will identify, leverage, and successfully evangelize opportunities to improve engineering productivity.
Basic Qualifications
• BA/BS in Computer Science or related technical field or equivalent practical experience.
• 2+ years of industry experience in software design, development, and algorithm related solutions.
• 2+ years programming experience in languages such as Objective-C, Swift, Python, Java, Javascript, C/C++, C#, Ruby.
Preferred Qualifications:
• BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience.
Suggest Skills:
• Objective-C
• Swift
• Xcode
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $121,000 to $198,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Senior Software Engineer - Workload Security
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works.
This role will be based in Sunnyvale, CA, San Francisco, CA or Bellevue, WA.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
Team Overview:
Securing data is core to building trust with our members and for LinkedIn's success. Our vision as the Security Infrastructure team is to ensure that every access to data at LinkedIn is safe. Our mission is to make security intuitive, performant, and secure. We build highly
reliable and scalable services and developer-friendly infrastructure that enable engineering teams across the company to create and integrate secure features and proactively protect our members' data. We are responsible for securing all of LinkedIn's microservices, big data, and large scale data systems such as Kafka.
As a Sr. Software Engineer, you will play a crucial role in our ongoing efforts to execute the vision for our security infrastructure features, and capabilities. This is a critical role that will touch every aspect of our engineering organization, and we are looking for motivated professionals who have a proven track record of working with engineering teams that can develop large-scale security infrastructure by collaborating with teams across a large organization.
As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, compute platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
If you are passionate about developing and delivering the underlying technology that powers one of the world's most-used internet applications and have the skills and experience to help us take our security infrastructure and services to the next level, we want to hear from you. Apply now to join our team and help shape the future of LinkedIn.
Responsibilities:
•Design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
•Participate in design and code reviews to maintain our high development standards.
•Partner with peers, leads and internal customers to define scope, prioritize and build impactful features at a high velocity.
•Mentor other engineers and will help build a fast-growing team.
•Design and implement a robust security framework to safeguard workloads from compromise.
•Continuously identify and mitigate vulnerabilities in host and container ecosystems.
•Strengthen security for control plane components and privileged host agents to prevent unauthorized access.
•Create systems to dynamically adjust security controls based on node profiles and workload context.
•Enhance host and container security with policy-based binary authorization, TPM usage, code signing, and risk-based controls.
•Leverage expertise in domains such as Kubernetes, Containers, Service Mesh, Networking, Linux internals, Authentication/Authorization protocols, and Cloud Security tools.
Basic Qualifications:
•BS/BA in Computer Science or related technical field, or equivalent technical experience
•2+ years of industry experience in software design, development, and algorithm related solutions.
•4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages
•Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
Preferred Qualifications
•BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience
•Proven experience in designing, developing, and managing large-scale distributed systems.
•Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice
•Strong, in-depth knowledge of the Linux Kernel, including boot modes and initialization
Systems.
•Familiarity with Linux Kernel security features such as Kernel Runtime Security Instrumentation (KRSI).
•Understanding of Intel and AMD hardware virtualization technologies like SGX, TDX, SPE-VI, SEV-SNP.
•Proficiency in eBPF and XDP, as well as security frameworks like Seccomp, SELinux, or AppArmor.
•Hands-on experience with Linux containers and Kubernetes, and familiarity with container runtimes such as Containerd, runc, or similar.
•System-level programming experience in Go/C or Rust/C++, or distributed systems programming within the Kubernetes ecosystem.
Suggested Skills
•API Development
•Kubernetes Infrastructure
•Workload Security
•Java/Golang/Rust/Python
You will Benefit from our Culture You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $121,000 to $198,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
iOS Senior Software Engineer
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
Our team, Product Application UX Infrastructure, is passionate about every pixel. At the heart of our work, as we create the framework for the next generation of consumer and enterprise applications at LinkedIn, is our commitment to delivering a user experience that is accessible, consistent, high-performing, and delightful.
As a Senior Software Engineer on iOS, you will design and develop core user experience components and frameworks, establish the underlying infrastructure, collaborate with product engineering teams, and provide architectural guidance. Your role will enable these teams to efficiently experiment and build their applications.
Responsibilities:
• You will design and execute user-facing features for the native LinkedIn app on iOS devices by leveraging mobile operating system frameworks for multi-threading, persisting data, and managing user experience and graphics across multiple screen sizes.
• You will use the latest cutting edge technologies and libraries suggested by Apple for building responsive native apps for iOS.
• You will build scalable native mobile apps using LinkedIn's internal libraries.
• You will produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
• You will provide technical leadership, driving best engineering practices to initiate, plan, and execute large-scale, cross-functional, and company-wide critical programs.
Basic Qualifications
• BA/BS in Computer Science or related technical field or equivalent practical experience.
• 2+ years of industry experience in software design, development, and algorithm related solutions.
• 2+ years programming experience in languages such as Objective-C, Swift, Python, Java, Javascript, C/C++, C#, Ruby.
Preferred Qualifications:
• BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience.
Additional Preferred Qualifications:
• Extensive programming experience in Objective-C, UIKit, Swift, Java, Kotlin and/or C++.
• Experience building accessible iOS applications and familiarity with accessibility standards and guidelines, such as WCAG, Section 508, and Apple's Human Interface Guidelines.
• Deep foundation in computer science with a strong understanding in data structures, and algorithms. Strong object-oriented skills including design, coding, and testing patterns.
• Extensive experience in designing and building scalable application infrastructure, collaborating with stakeholders and diverse teams, and delivering projects on time and with exceptional quality.
• Familiarity with API design and client/server communication principles and technologies like gRPC and GraphQL.
Suggest Skills
• Swift
• Objective - C
• Mobile Development
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $121,000 to $198,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Distinguished Software Engineer - Machine Learning
Staff Software Engineer Job At LinkedIn
LinkedIn's vision is to create economic opportunities for every member of the global workforce. It was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology.
Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.
Technology leaders collaborate, maintain balance, commit and achieve results - all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks and the tech community.
Job Description
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
As a Distinguished Engineer at LinkedIn, you will architect and lead the next generation of AI solutions that power LinkedIn's content products - from feed to videos to news- by employing the latest techniques - from reinforcement learning to generative AI to large-scale deep learning models. You will design strategies for holistic optimization of LinkedIn's ecosystem across all consumer product surfaces to create a cohesive, highly personalized experience for our members. LinkedIn relies on innovative AI research and applications that you will help us build.
As a key leader in the organization, you will lead research, design algorithms, build software, anticipate and influence the state of the art in the industry, and leverage and create open-source software in the process.
Qualifications
Basic Qualifications:
PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience
10+ years of relevant work experience
Experience leading technical projects with multiple stakeholders
Preferred Qualifications:
10+ years experience in building engaging AI-powered consumer products at scale, with at least 5 of those years in a technical leadership position
Experience in designing and optimizing recommender systems that create highly personalized experiences for LinkedIn's members and scale to solve complex business problems
Experience in leading large scale development projects from concept to multiple releases in production
Experience of technical leadership guiding and mentoring engineering and operations talent
Experience leading high-impact, cross-company initiatives
Dream big. Make big, bold moves to define and build the next generation of products
Suggested Skills:
* Mentoring
* Technical Leadership
* Machine Learning
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $238,000 to $390,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Software Engineer - iOS
Staff Software Engineer Job At LinkedIn
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
Responsibilities:
· You will design and execute user-facing features for the native LinkedIn app on iOS devices by leveraging mobile operating system frameworks for multi-threading, persisting data, and managing user experience and graphics across multiple screen sizes.
· You will use the latest cutting edge technologies and libraries suggested by Apple for building responsive native apps for iOS.
· You will build scalable native mobile apps using LinkedIn's internal libraries.
· You will make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
· You will produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
· You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross-functional, and company-wise critical programs.
· You will identify, leverage, and successfully evangelize opportunities to improve engineering productivity.
Basic Qualifications:
• BA/BS in Computer Science or related technical field or equivalent practical experience.
• 1+ years of industry experience
• Programming experience in languages such as Java, C/C++, Python, Objective-C, Swift, etc.
Preferred Qualifications:
• 2+ years of relevant work experience.
• MS or PhD in Computer Science or related technical discipline.
• Experience in designing and building infrastructure and web services at large scale.
•Extensive programming experience in Java, Objective-C and/or C++.
• Expansive technical knowledge and experience with mobile application development (Android, iOS, Windows, or other).
• Deep foundation in computer science with a strong understanding in data structures, and algorithms.
• Experience developing multi-tier scalable and user-centric reliable applications that operate 24x7.
• Knowledge of UI and animation frameworks, touch user interface, and MVP application design.
• Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.
• Experience building services for information delivery from server to mobile clients working with relevant tools (IDEs, ant, junit, etc.).
• Strong object-oriented skills including design, coding, and testing patterns.
Suggested Skills:
• Swift
• SwiftUI
• Objective-C
• Mobile Development
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $99,000 - $163,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************