Software Engineer jobs at Twilio

Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. See yourself at Twilio Join the team as Twilio's next Software Engineer L2 to work in the Cloud Infrastructure area. About the job This position is needed to evolve and maintain fundamental Compute infrastructure, collaborating with a passionate team to enhance the system capabilities. Key responsibilities include develop scalable cloud-native environments, VM orchestration, AWS-ASG Auto Scaling group of EC2 instances, hardened base AMIs, and secure container images while maintaining critical OS libraries. You'll implement solutions for providing robust legacy platform support and cutting-edge cloud-native technologies, all driven by automation and best practices. Join us in shaping the future of our Compute infrastructure Responsibilities In this role, you'll: Collaborate with Tech Leaders, Architects and other Engineers to develop solutions for complex problems in distributed computing and infrastructure management. Automate solutions for operational issues, such as monitoring, performance, planning, and disaster response. Participate in an on-call rotation to support our business-critical infrastructure. Ensure a high quality implementation by applying Infrastructure as Code industry standards. Demonstrate effective communication by authoring and reviewing design documents, runbooks, and other service documentation, and keeping a good record of changes in the systems. Apply Agile methodologies to continuously deliver value to the customers. Act as point of contact for legacy/new Compute system components. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 2+ years of experience in AWS Cloud infrastructure management. (preferably backend/infrastructure-focused like AMI, EC2, IAM policies/roles, etc.). Strong ASG (Auto Scaling Groups) knowledge, to design, implement, and support scalable cloud-native environments. Experience with hardened base AMIs and AL23. Proficiency with one or more programming languages: like Java or Python (includes SW Arch patterns, clean code, debugging, etc) Proficient in shell scripting to streamline repetitive tasks and enhance efficiency in operations. Skills to work independently with multiple global teams, developing, configuring, deploying, and operating the global Twilio Infrastructure Platform, blending operational excellence with development best practices. Knowledge of container-based application/services. Desired: Knowledge on deployment tools and frameworks like infrastructure as a code and continuous deployment processes (ex: Github, Buildkite, Terraform-TFC, ArgoCD, Harness, Cloud network). Operational experience in complex distributed systems, including experience with SLO/SLAs towards high availability and reliability goals, including tools like DataDog or Phometheus. Exposure to File Integrity Monitoring (FIM) tools, specifically Falco, and awareness of compliance frameworks (PCI, SOX). Knowledge in Kubernetes Experience with Claude AI or similar. Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $116,960.00-146,200.00 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): 123,760.00-154,700.00 Based in the San Francisco Bay area, California:137,520.00-171,900.00 This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

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 internship role will be based in Mountain View, California. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. First Play is LinkedIn's software engineering internship designed to develop the next generation of AI-native engineers. The program is designed for students earlier in their computer science journey (expected graduation date of December 2027 or later) who want hands-on experience, mentorship, and growth opportunities working in the tech industry. Unlike our traditional Software Engineering internship, First Play is tailored for those building foundational skills required to thrive in an AI-native engineering environment. Throughout the program, interns are paired with a dedicated mentor and manager who provide guidance, feedback, and support to help them learn and grow as engineers. **Candidates must be currently enrolled in an undergraduate degree program, with an expected graduation date of December 2027 or later.** The First Play internship is a 12-week program designed to provide hands-on learning and mentorship. The 2026 session will run from May 26, 2026 - August 14, 2026. **Responsibilities:** + Hands-on Engineering: Contribute to meaningful, scoped projects that strengthen your coding, debugging, and problem-solving skills. You'll apply classroom knowledge to real-world challenges - writing clean, efficient code, testing and iterating on features, and learning professional engineering practices such as version control, code reviews, and continuous integration + Build Community: Participate in First Play cohort events, learning experiences, and LinkedIn's broader intern programming designed to build community, increase skills, and showcase LinkedIn's culture + Experience Growth: Explore how AI and emerging technologies are shaping software development, and learn how engineering teams collaborate to create economic opportunity for the global workforce **Basic Qualifications** + Currently pursuing a B.A/B.S degree in Computer Science or related technical field + Foundational programming experience in at least one of the following: Python, Java, C/C++, C#, Rust, or a similar object-oriented programming language **Preferred Qualifications** + Exposure to software development through class projects, hackathons, or personal coding projects + Experience experimenting with AI tools and frameworks to enhance software development and productivity + Understanding of foundational data structures and basic algorithms + Demonstrated AI curiosity and growth mindset, with a desire to deepen fluency with AI tools and emerging technologies + Understanding of software engineering fundamentals such as code reviews, collaboration, and iterative development in a team environment Suggested Skills: - Programming Foundations - Technical Problem-Solving - AI Fluency As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $45 to $55. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Searching for your next big opportunity? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. We believe that leadership is about fostering growth, maintaining balance, and achieving results. Our leaders value their craft, inspire their teams, and set the standard for high-quality work. They drive the strategy and implementation of critical initiatives, motivating and developing their teams to make a lasting impact on our business and community. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn is seeking a Principal Staff Software Engineer to lead its Data Privacy and Data Governance Engineering team. This critical role involves ensuring LinkedIn meets privacy and data governance commitments made to regulators and end-users. You will be at the forefront of designing and implementing privacy-related systems and initiatives, including data minimization, data taxonomy, data retention, and purpose limitation. As a key leader in Privacy Engineering, you will be responsible for creating scalable solutions for LinkedIn's universal policy catalog and integrating it with a high-performance native policy enforcement system. This system will enforce data policies across all execution environments. The role requires a deep understanding of data privacy principles, and technical expertise to collaborate with cross-functional teams in developing innovative solutions that balance business requirements with privacy compliance. Responsibilities: + Design and implement scalable, reliable, and high-performance backend systems focused on member privacy and data protection. + Lead key privacy initiatives such as data minimization, data taxonomy, data retention, and purpose limitation. + Collaborate with product management, legal, engineering, compliance, and security teams to ensure privacy considerations are integrated into LinkedIn's architecture and development processes. + Develop technology roadmaps prioritizing members' data privacy. + Identify and evaluate new technologies to enhance LinkedIn's privacy posture. + Provide technical guidance and mentorship to engineers within the team. + Ensure systems comply with relevant privacy laws and regulations (e.g., GDPR, CCPA). What we are looking for + Extensive software engineering experience with a proven track record of building large-scale systems. + Deep understanding of privacy principles and regulatory frameworks (e.g., GDPR, CCPA). + Strong technical leadership skills with the ability to influence cross-functional stakeholders. + Experience designing and implementing policy enforcement systems or privacy-centric architectures. + Expertise in data governance, security, and encryption technologies. + Excellent communication skills to translate complex privacy requirements into technical solutions. + Demonstrated ability to build and lead high-performing engineering teams. Basic Qualifications: + BS/BA in Computer Science or related technical field or equivalent technical experience + 10+ years of experience in software design, building solutions + 5+ years in a technical leadership position Preferred Qualifications: + 12+ years of experience in software design + 5+ of those years in a technical leadership position + Experience Data Privacy & Governance Infrastructure + Experience leading and influencing within large, matrixed organization + Experience leading high-impact, cross-organization initiatives. Suggest Skills + Data Privacy Infrastructure + Data Governance Infrastructure + Developing technology strategies at a company-wide scale. + Technical leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $290,000 to $440,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. **Team Name:** Feature Serving 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, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Description This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. Join us to push the boundaries of scaling large models together. The team is responsible for scaling LinkedIn's AI model training, feature engineering and serving with hundreds of billions of parameters models and large scale feature engineering infra for all AI use cases from recommendation models, large language models, to computer vision models. We optimize performance across algorithms, AI frameworks, data infra, compute 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, vLLM, Hugginface, DeepSpeed etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning and Serving performance optimizations across billions of user queries Model Training Infrastructure: As an engineer on the AI Training Infra team, you will play a crucial role in building the next-gen training infrastructure to power AI use cases. You will design and implement high performance data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, enable distributed training over 100s of billions of parameter models, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, tensor parallelism, Zero++ etc. 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. PyTorch Lightning and more and more. Feature Engineering: this team shapes the future of AI with the state-of-the-art Feature Platform, which empowers AI Users to effortlessly create, compute, store, consume, monitor, and govern features within online, offline, and nearline environments, optimizing the process for model training and serving. As an engineer in the team, you will explore and innovate within the online, offline, and nearline spaces at scale (millions of QPS, multi terabytes of data, etc), developing and refining the infrastructure necessary to transform raw data into valuable feature insights. Utilizing leading open-source technologies like Spark, Beam, and Flink and more, you will play a crucial role in processing and structuring feature data, ensuring its most optimal storage in the Feature Store, and serving feature data with high performance. Model Serving Infrastructure: this team builds low latency high performance applications serving very large & complex models across LLM and Personalization models. As an engineer, you will build compute efficient infra on top of native cloud, enable GPU based inference for a large variety of use cases, cuda level optimizations for high performance, enable on-device and online training. Challenges include scale (10s of thousands of QPS, multiple terabytes of data, billions of model parameters), agility (experiment with hundreds of new ML models per quarter using thousands of features), and enabling GPU inference at scale. ML Ops: The MLOps and Experimentation team is responsible for the infrastructure that runs MLOps and experimentation systems across LinkedIn. From Ramping to Observability, this org powers the AI products that define LinkedIn. This team, inside MLOps, is responsible for AI Metadata, Observability, Orchestration, Ramping and Experimentation for all models; building tools that enable our product and infrastructure engineers to optimize their models and deliver the best performance possible. As a Software Engineer, you will have first-hand opportunities to advance one of the most scalable AI platforms in the world. At the same time, you will work together with our talented teams of researchers and engineers to build your career and your personal brand in the AI industry. Responsibilities Designing, implementing, and optimizing the performance of large-scale distributed serving or 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. Partner with peers, leads and partners to define, scope, prioritize, and build impactful features at a high velocity. Basic Qualifications + Bachelor's Degree in Computer Science or related technical discipline, or equivalent practical experience + 1+ years of experience in the industry with leading/ building deep learning systems. + Experience with Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages + Experience, qualifications in Machine Learning, AI Preferred Qualifications + 2+ years of relevant work experience + MS or PhD in Computer Science or related technical discipline + Experience building ML applications, LLM serving, GPU serving. + Experience with search systems or similar large-scale distributed systems + Experience with distributed data processing engines like Flink, Beam, Spark etc., feature engineering, + Experience in distributed machine learning training infrastructure, including technologies like Horovod, PyTorch FSDP, DeepSpeed, Hugginface, PyTorch Lightning, LLMs, GNNs, MLFlow, Kubeflow and large scale distributed systems + Familiarity with containers and container orchestration systems like Kubernetes + Experience in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Suggested Skills + ML Algorithm Development + Experience in Machine Learning and Deep Learning + Distributed Systems 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 $114,000 - $189,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Team Name: Feature Serving 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, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Description This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. Join us to push the boundaries of scaling large models together. The team is responsible for scaling LinkedIn's AI model training, feature engineering and serving with hundreds of billions of parameters models and large scale feature engineering infra for all AI use cases from recommendation models, large language models, to computer vision models. We optimize performance across algorithms, AI frameworks, data infra, compute 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, vLLM, Hugginface, DeepSpeed etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning and Serving performance optimizations across billions of user queries Model Training Infrastructure: As an engineer on the AI Training Infra team, you will play a crucial role in building the next-gen training infrastructure to power AI use cases. You will design and implement high performance data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, enable distributed training over 100s of billions of parameter models, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, tensor parallelism, Zero++ etc. 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. PyTorch Lightning and more and more. Feature Engineering: this team shapes the future of AI with the state-of-the-art Feature Platform, which empowers AI Users to effortlessly create, compute, store, consume, monitor, and govern features within online, offline, and nearline environments, optimizing the process for model training and serving. As an engineer in the team, you will explore and innovate within the online, offline, and nearline spaces at scale (millions of QPS, multi terabytes of data, etc), developing and refining the infrastructure necessary to transform raw data into valuable feature insights. Utilizing leading open-source technologies like Spark, Beam, and Flink and more, you will play a crucial role in processing and structuring feature data, ensuring its most optimal storage in the Feature Store, and serving feature data with high performance. Model Serving Infrastructure: this team builds low latency high performance applications serving very large & complex models across LLM and Personalization models. As an engineer, you will build compute efficient infra on top of native cloud, enable GPU based inference for a large variety of use cases, cuda level optimizations for high performance, enable on-device and online training. Challenges include scale (10s of thousands of QPS, multiple terabytes of data, billions of model parameters), agility (experiment with hundreds of new ML models per quarter using thousands of features), and enabling GPU inference at scale. ML Ops: The MLOps and Experimentation team is responsible for the infrastructure that runs MLOps and experimentation systems across LinkedIn. From Ramping to Observability, this org powers the AI products that define LinkedIn. This team, inside MLOps, is responsible for AI Metadata, Observability, Orchestration, Ramping and Experimentation for all models; building tools that enable our product and infrastructure engineers to optimize their models and deliver the best performance possible. As a Software Engineer, you will have first-hand opportunities to advance one of the most scalable AI platforms in the world. At the same time, you will work together with our talented teams of researchers and engineers to build your career and your personal brand in the AI industry. Responsibilities Designing, implementing, and optimizing the performance of large-scale distributed serving or 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. Partner with peers, leads and partners to define, scope, prioritize, and build impactful features at a high velocity. Qualifications Basic Qualifications * Bachelor's Degree in Computer Science or related technical discipline, or equivalent practical experience * 1+ years of experience in the industry with leading/ building deep learning systems. * Experience with Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages * Experience, qualifications in Machine Learning, AI Preferred Qualifications * 2+ years of relevant work experience * MS or PhD in Computer Science or related technical discipline * Experience building ML applications, LLM serving, GPU serving. * Experience with search systems or similar large-scale distributed systems * Experience with distributed data processing engines like Flink, Beam, Spark etc., feature engineering, * Experience in distributed machine learning training infrastructure, including technologies like Horovod, PyTorch FSDP, DeepSpeed, Hugginface, PyTorch Lightning, LLMs, GNNs, MLFlow, Kubeflow and large scale distributed systems * Familiarity with containers and container orchestration systems like Kubernetes * Experience in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Suggested Skills * ML Algorithm Development * Experience in Machine Learning and Deep Learning * Distributed Systems 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 $114,000 - $189,000. 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 ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. 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 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. We are seeking a Principal-level Technical Lead to join LinkedIn's Infrastructure SRE organization. As the technical partner to the organizational leader, you will play a critical role in designing and implementing end-to-end solutions for the platform. The organization encompasses Site Health and Operations, Embedded Infrastructure SRE (supporting Data Infrastructure and Data/AI Platform partners), and Data Automation. The ideal candidate will have proven expertise in these domains, enabling them to design and lead comprehensive solutions that integrate seamlessly across the entire platform. As a Principal Staff Software Engineer, you will serve as a key technical leader and role model within the Infra SRE organization, driving the development of scalable and reliable infrastructure operations solutions powered by AI/ML. With the industry increasingly focused on AI, our efforts are aimed at enhancing productivity by building and deploying AI/ML solutions at scale in a sustainable manner, enabling the industrialization of AI. In this role, you will mentor team members, set a high standard for technical craftsmanship, and help elevate the team's capabilities. You will also champion LinkedIn's Core Values of transformation, collaboration, and results, fostering a culture that aligns with these principles. From time to time you may have to jump in to do hands-on coding and often review PRs from other engineers and guide them towards clean, efficient, bug-free code. You should inspire the team to maintain code hygiene, unit testing, test coverage and other better engineering practices. You will work closely with partners and customer stakeholders to strategize, design, and lead innovative solutions while taking a hands-on approach to problem-solving. Strong leadership skills and a focus on delivering high-quality solutions are essential for success in this role. **Responsibilities:** + We take an engineering-first approach to elevate infrastructure operations and reliability. As a Principal Engineer, you'll be driving the strategy to bring down the total cost of ownership to run and operate our infrastructure. + Build platforms to augment end-to-end reliability and scalability of LinkedIn's platforms, services, and products and bring actionable operational insights to enable continuous improvement. + You will be defining appropriate Service Level Objectives (SLOs) and managing error budgets to balance reliability with innovation and feature development for infrastructure. + Scale: our data footprint continues to grow exponentially beyond 100s of thousands of servers, multiple exabytes of storage, 10s of trillions of events/messages - arrive at a cohesive strategy and best practices to continue to scale our footprint 10x. + Cloud-based ecosystems are rapidly evolving. In this role, you will be expected to stay up to date with the latest cloud trends, including Kubernetes, serverless technologies, containers, and best practices for managing and optimizing large-scale infrastructure performance and help define our strategy and roadmap to set us up to be competitive and get ahead of the trends. + Provide architectural guidance and mentorship to elevate the engineering organization, actively enhancing craftsmanship at LinkedIn by establishing best practices and strategic approaches. + Influence and lead architecture and design decisions with a strong focus on ensuring Site Up as the top priority + Drive consensus across cross-functional teams within a matrixed organization, fostering alignment and building a cohesive and collaborative team culture. **Basic Qualifications:** + 10+ years of industry experience in software design, development, and algorithm related solutions + 10+ years of experience programming in object-oriented languages such as Java, Go, C/C++, Rust, Rust, Python + Hands-on experience developing large-scale distributed systems + 4+ years of experience as an architect, or technical leadership position + BS/BA in Computer Science or related technical field or equivalent technical experience **Preferred Qualifications:** + MS Degree in Computer Science or related technical discipline, or equivalent practical experience + Experience working in the site reliability space + Professional experience working in the technology industry + Experience with Data Infrastructure tech stacks: Kafka/PubSub systems, Flink, Airflow, ETL framework and distributed storage (HDFS, S3/EBS, Object Storage, Couchbase, or similar) + Experience architecting and launching complex AI and engineering projects + Experience leading and influencing within large, matrixed organization + Experience leading high-impact, cross-organization initiatives. **Suggested Skills:** + Large Distributed Systems + Architecture + Developing technology strategies at a company-wide scale. + Technical leadership + Cross functional work **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 $226,000 - $369,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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 or San Francisco. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Team Description At LinkedIn, the Service Infrastructure (SI) organization provides the foundation for all online services to run reliably, efficiently, and at scale. We power core technologies that enable every product team at LinkedIn to build, deploy, and operate their services seamlessly. gRPC is at the heart of LinkedIn's inter-service communication, connecting thousands of services across multiple programming languages. Our mission is to define and drive the future of gRPC at LinkedIn, evolving the infrastructure to improve reliability, performance, developer experience, and scalability while reducing complexity and operational cost. As a Principal Staff Engineer in Service Infrastructure, you will be the primary domain expert for gRPC and play a critical role in shaping the long-term direction of inter-service communication at LinkedIn. You will lead foundational projects, set technical strategy, and provide thought leadership that impacts every service and developer at LinkedIn. Responsibilities + Define the long-term technical direction for gRPC at LinkedIn, balancing scalability, reliability, developer experience, and efficiency. + Lead large-scale gRPC infrastructure initiatives, including evolution from bridged to native gRPC, support for multiple programming languages, and alignment with LinkedIn's platform vision. + Provide architectural leadership across the engineering organization, setting the bar for performance, resiliency, and security in LinkedIn's RPC stack. + Partner with other senior engineers and managers to drive cross-functional alignment on gRPC strategy and execution. + Influence how gRPC integrates with the broader service platform, including dependency management, observability, configuration, and deployment. + Act as a mentor and technical leader, raising the bar for craftsmanship and guiding engineers across multiple teams. + Represent LinkedIn externally as an industry thought leader, sharing best practices and innovations in large-scale RPC systems. + Establish a culture of innovation, quality, and operational excellence, ensuring that design and architectural choices optimize for developer productivity and business impact. + Anticipate future needs in scale and efficiency, and proactively identify infrastructure gaps and solutions. Basic Qualifications: + BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience. + 7+ years of industry experience in software design, distributed systems, or infrastructure engineering. + 7+ years of experience in programming languages such as Java, Go, C++, Python, or Rust. + 5+ years in an architect or technical leadership role. + Experience with distributed systems, networking, or inter-service communication protocols (e.g., gRPC, HTTP/2, RPC frameworks). Preferred Qualifications: + Experience building and operating large-scale, high-performance infrastructure serving millions of requests per second. + Expertise in gRPC or equivalent RPC/communication technologies at scale. + Deep understanding of distributed systems concepts: reliability, fault tolerance, scalability, and performance optimization. + Experience influencing company-wide technical direction and aligning diverse teams toward a common strategy. + Demonstrated ability to simplify complex infrastructure problems into developer-friendly solutions. + Excellent communication skills, with a track record of influencing senior leaders and external communities. + Experience mentoring engineers and cultivating a strong engineering culture. Suggest Skills + Distributed systems + Service Infrastructure + gRPC or equivalent RPC + Developing technology strategies at a company-wide scale. + 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 $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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 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. As a Distinguished Engineer at LinkedIn, you will architect and lead the next generation of AI solutions that power LinkedIn's growth ecosystem - from PYMK to Notifications to Agentic Onboarding - by employing the developing state of the art technologies - from reinforcement learning to generative AI and large models. You will develop strategies to drive user retention throughout the user lifecycle across LinkedIn's consumer ecosystem, helping accelerate LinkedIn's vision as a leader within the Growth team. Responsibilities: + Help define business strategy and technical strategy and drive alignment cross functionally. + Head cross team/cross functional discussions and drive alignment on product/technology strategy. + Help build highly scalable systems and applications to enable the organization to achieve its goals. + Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. + Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. + Establish a culture that values diverse viewpoints while navigating complex decisions. Basic Qualifications: + Bachelor's degree in Computer Science or a related field, or equivalent experience + 10+ years of relevant work experience + Experience leading technical projects with multiple stakeholders Preferred Qualifications: + PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience + 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: + Mentorship + 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 $248,000 to $406,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA or San Francisco, CA. **Responsibilities** + Serve as a senior technical leader driving the long-term reliability and observability strategy across LinkedIn's infrastructure + Re-architect LinkedIn's backend systems to enable granular failure domains and reduce the blast radius of incidents + Design and implement next-generation failure mitigation strategies that avoid full-region or full-datacenter failovers + Partner closely with across many different types of engineers to raise the bar for operational excellence and incident response + Define and build frameworks to improve monitoring, alerting, and observability across hundreds of services and systems + Define and own the roadmap of bringing observability to critical user journeys for LinkedIn's products to help capture and improve the experience of LinkedIn's members/customers + Spearhead a multi-year initiative to transition LinkedIn's infrastructure to a regionalized model with localized failover, enhancing both scalability and availability + Lead technical discussions on the future of Engineering at LinkedIn, what the function should evolve into over the next 3- 5 years + Deliver key insights, executive level reporting across the cross-functional engineering teams to enable the right business decisions around improving quality and reliability of our services and products + Act as a force multiplier by mentoring engineers, influencing technical direction across orgs, and contributing deeply to culture, hiring, and technical excellence + Lead incident response and post-incident reviews to identify root causes and implement preventive measures. + Develop and maintain incident management processes and procedures to ensure timely resolution of issues and minimize impact on customers **Basic Qualifications** + 15+ years of software engineering experience + 8+ years focused on infrastructure, reliability focused engineering, or distributed systems **Preferred Qualifications** + Hands-on experience with large-scale incident response, root cause analysis, and resiliency engineering + Strong communication and cross-functional collaboration skills, with experience influencing across multiple orgs and leadership levels + Proven success designing and leading architectural transformations at internet-scale companies + Deep knowledge of systems reliability, observability frameworks, and fault-tolerant architecture design + Experience with multi-region architecture, capacity planning, and failover strategies in large-scale cloud or hybrid environments + Background in CI/CD, platform reliability, and automation of ops-heavy systems. + Familiarity with modern observability stacks (e.g., OpenTelemetry, Prometheus, Grafana) and service mesh architecture + Track record of setting long-term technical strategy and driving systemic improvements in availability and performance + Previous experience in a Distinguished Engineer or equivalent role at a high-growth or web-scale technology company Suggested Skills + Site Reliability Engineering (SRE) + Leadership + Large scale infrastructure 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA or San Francisco, CA. Responsibilities * Serve as a senior technical leader driving the long-term reliability and observability strategy across LinkedIn's infrastructure * Re-architect LinkedIn's backend systems to enable granular failure domains and reduce the blast radius of incidents * Design and implement next-generation failure mitigation strategies that avoid full-region or full-datacenter failovers * Partner closely with across many different types of engineers to raise the bar for operational excellence and incident response * Define and build frameworks to improve monitoring, alerting, and observability across hundreds of services and systems * Define and own the roadmap of bringing observability to critical user journeys for LinkedIn's products to help capture and improve the experience of LinkedIn's members/customers * Spearhead a multi-year initiative to transition LinkedIn's infrastructure to a regionalized model with localized failover, enhancing both scalability and availability * Lead technical discussions on the future of Engineering at LinkedIn, what the function should evolve into over the next 3- 5 years * Deliver key insights, executive level reporting across the cross-functional engineering teams to enable the right business decisions around improving quality and reliability of our services and products * Act as a force multiplier by mentoring engineers, influencing technical direction across orgs, and contributing deeply to culture, hiring, and technical excellence * Lead incident response and post-incident reviews to identify root causes and implement preventive measures. * Develop and maintain incident management processes and procedures to ensure timely resolution of issues and minimize impact on customers Qualifications Basic Qualifications * 15+ years of software engineering experience * 8+ years focused on infrastructure, reliability focused engineering, or distributed systems Preferred Qualifications * Hands-on experience with large-scale incident response, root cause analysis, and resiliency engineering * Strong communication and cross-functional collaboration skills, with experience influencing across multiple orgs and leadership levels * Proven success designing and leading architectural transformations at internet-scale companies * Deep knowledge of systems reliability, observability frameworks, and fault-tolerant architecture design * Experience with multi-region architecture, capacity planning, and failover strategies in large-scale cloud or hybrid environments * Background in CI/CD, platform reliability, and automation of ops-heavy systems. * Familiarity with modern observability stacks (e.g., OpenTelemetry, Prometheus, Grafana) and service mesh architecture * Track record of setting long-term technical strategy and driving systemic improvements in availability and performance * Previous experience in a Distinguished Engineer or equivalent role at a high-growth or web-scale technology company Suggested Skills * Site Reliability Engineering (SRE) * Leadership * Large scale infrastructure 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 ************************************* Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. 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 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 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. As a Distinguished Engineer at LinkedIn, you will architect and lead the next generation of AI solutions that power LinkedIn's growth ecosystem - from PYMK to Notifications to Agentic Onboarding - by employing the developing state of the art technologies - from reinforcement learning to generative AI and large models. You will develop strategies to drive user retention throughout the user lifecycle across LinkedIn's consumer ecosystem, helping accelerate LinkedIn's vision as a leader within the Growth team. Responsibilities: * Help define business strategy and technical strategy and drive alignment cross functionally. * Head cross team/cross functional discussions and drive alignment on product/technology strategy. * Help build highly scalable systems and applications to enable the organization to achieve its goals. * Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. * Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. * Establish a culture that values diverse viewpoints while navigating complex decisions. Qualifications Basic Qualifications: * Bachelor's degree in Computer Science or a related field, or equivalent experience * 10+ years of relevant work experience * Experience leading technical projects with multiple stakeholders Preferred Qualifications: * PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience * 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: * Mentorship * 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 $248,000 to $406,000. 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 ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. 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 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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. 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 will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As a Sr. Staff Software Engineer of the Compute Infrastructure team at LinkedIn, you will play a crucial role in our ongoing efforts to re-architect our compute infrastructure stack. This is a high-profile, high-impact project that will touch every aspect of our engineering organization. We are looking for experienced professionals who have a proven track record of designing large-scale compute infrastructure and driving consensus. In this role, you will design and implement solutions that 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, including distinguished engineers and technical fellows, 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 building 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 compute infrastructure 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 directly contribute to LinkedIn's Compute infrastructure strategy. -You will build and operate a platform that allocates hardware resources with necessary physical/logical distribution for fault tolerance and easy maintenance. -You will build and operate world class high performance scheduling/deployment solutions including some of the world's largest Kubernetes clusters to place stateless/stateful services, ML workloads and short running jobs efficiently. -You will help up-level and coach a large team of talented developers. Basic Qualifications -5+ years of industry experience in software design, development, and algorithm related solutions -5+ years of experience programming in object-oriented languages such as Java, Go, C/C++, Rust, Rust, Python -Hands-on experience developing large-scale distributed systems -2+ years of experience as an architect, or technical leadership position -BS/BA in Computer Science or related technical field or equivalent technical experience Preferred Qualifications -10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position -10+ years of programming experience in an object-oriented programming language such as Go, Java, C/C++, Rust -5+ years of experience building large-scale compute infrastructure, and distributed systems -Demonstrated understanding of operating system fundamentals, container technologies, and systems knowledge. -Experienced in leading technical teams and mentoring other engineers -Experience building and operating cluster management solutions such as Kubernetes. -Experience with IaaS systems and capacity management. -Experience with networking and security principles. -Deep understanding of Kubernetes architecture and key components (API server, scheduler, kubelet, etc.), with a proven track record of deploying, managing, and troubleshooting Kubernetes clusters. -Strong proficiency in Golang, as it is the primary language. -Solid understanding of networking concepts relevant to Kubernetes, including CNI plugins and pod networking. -Knowledge of Kubernetes security best practices such as RBAC, network policies, and Pod security policies. -Proficiency with monitoring and logging tools such as Prometheus, Grafana, and Fluentd. Suggested Skills -Distributed Systems -Kubernetes -Technical Leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $198,000 to $326,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Trust is our foundation. At LinkedIn, we build secure, compliant infrastructure with integrity woven into every layer. By embedding security, governance, and regulatory alignment into our development lifecycle and business, we don't just protect our members, customers, and employees-we set the standard for trusted technology and operations at scale. GRACE is a team leading entity-wide compliance and risk management programs. GRACE stands for Governance, Risk, Automation, Compliance and Engineering. Our commitment to our customers and members is engineered into our culture of security and compliance through these foundational pillars: * Proactive Governance & Engineering Alignment * Scaled Lifecycle & Integrated Controls * Assured Ecosystem & Quantified Risk Management LinkedIn is looking for a technical lead to provide architectural and technical leadership across GRACE infrastructure platforms, including engineering repositories, datalakes and analytics platforms, and the GRACE system of record. This role emphasizes data science, quantitative risk analysis, and automation at scale to deliver audit-ready systems, predictive insights, and risk quantification. The role requires deep expertise in data modeling, machine learning, and advanced analytics to ensure secure, scalable, and integrated compliance platforms. Responsibilities ᐧ Define and drive architecture and roadmap for enterprise GRC and security platforms, ensuring alignment with organizational security, audit, and compliance objectives. ᐧ Author technical specifications for self-service compliance reporting, transformation of security metadata into audit-ready artifacts, and CI/CD integration for engineering controls. ᐧ Design and oversee real-time, near-real-time, and batch data pipelines that support live dashboarding, anomaly detection, predictive modeling, and executive reporting. ᐧ Mentor engineering and data science teams by conducting pipeline/code reviews, promoting scalable patterns, and enabling maintainable deployment of quantitative models. ᐧ Govern development of certifiable reporting and audit systems, policy-as-code and docs-as-code engines, and analytics platforms supporting predictive and anomaly-based risk intelligence. ᐧ Ensure secure, efficient integration and data flow across systems of record, systems of transformation, and systems of insight. ᐧ Implement tooling and automation that streamline compliance workflows, enable self-service analytics, and improve quantitative risk measurement. ᐧ Design and enforce data models, metadata standards, lineage tracking, lifecycle management processes, and data integrity controls for structured and unstructured security-relevant data. ᐧ Lead the implementation of advanced analytics capabilities leveraging statistical and ML techniques to quantify control effectiveness and risk posture. ᐧ Architect secure, performant integration strategies using APIs, ETL/ELT mechanisms, and workflow orchestrators; develop and manage data contracts and integration security protocols. ᐧ Champion platform performance, scalability, and security-ensuring confidentiality, integrity, and availability for computationally intensive risk workloads. ᐧ Partner with engineering teams to onboard new compliance and risk programs; enable other risk domains to leverage shared infrastructure and platform capabilities. ᐧ Collaborate with internal data platform teams to influence in-house tooling that supports insight generation, workflow automation, and data-driven risk decisions. ᐧ Establish and socialize engineering and data ecosystem best practices across technical and non-technical teams, promoting standardization and design consistency. ᐧ Serve as an escalation point for complex technical, data quality, and model deployment issues; provide guidance on resolution paths. ᐧ Contribute to engineering innovations that strengthen security posture and advance the organization's mission. ᐧ Contribute to engineering innovations that fuel LinkedIn's vision and mission. Qualifications Basic Qualifications ᐧ Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc. ᐧ 7+ years of relevant industry experience. ᐧ Experience with SQL/Relational databases. ᐧ Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript, Python, Java and Scala). Preferred Qualifications ᐧ BS and 11+ years of relevant work experience, MS and 9+ years of relevant work experience, or Ph.D. and 7+ years of relevant work/academia experience working with large amounts of data. ᐧ 7+ years in technical leadership roles for large-scale platforms. ᐧ Deep experience mapping technical systems to compliance/risk frameworks. ᐧ Proven success launching and scaling analytics/compliance systems. ᐧ Experience designing and governing data models, schemas, metadata standards, and data quality controls for structured and unstructured security/compliance data. ᐧ Knowledge of data lineage, lifecycle management, and privacy/regulatory frameworks (e.g., GDPR, CCPA, HIPAA, SOX). ᐧ Experience developing analytics and ML pipelines using tools such as Spark, Databricks, Snowflake, or equivalent distributed compute frameworks. ᐧ Experience authoring and orchestrating data pipelines with workflow tools such as Airflow, Prefect, Flyte, or dbt. ᐧ Familiarity with anomaly detection, control drift analysis, predictive modeling, and quantitative risk techniques (e.g., Monte Carlo simulation, Bayesian inference, VaR). ᐧ Experience using BI and reporting platforms (e.g., Tableau, Power BI, Looker) to produce executive-ready dashboards and audit artifacts. ᐧ Knowledge of programming languages such as Python, Scala, R, or TypeScript, and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). ᐧ Familiarity with integration patterns across systems of record, transformation, and insight, including data contracts, encryption, authentication, and secrets management. ᐧ Experience with cloud-native compute and storage platforms (e.g., AWS, Azure, GCP), data lakes (e.g., S3, ADLS), and Git-based source control workflows. ᐧ Knowledge of CI/CD, MLOps, and infrastructure-as-code concepts for secure, reliable model and platform deployment. ᐧ Experience with GRC, compliance, or security automation platforms (e.g., ServiceNow, Archer, OneTrust) and shift-left security practices within the SDLC. ᐧ Familiarity with designing high-volume, high-reliability data foundations in large, distributed software environments. ᐧ Experience creating data visualizations and communicating technical concepts clearly to engineering, InfoSec, audit, and business stakeholders. ᐧ Demonstrated ability to mentor engineers and collaborate cross-functionally with legal, security, and platform teams. ᐧ Background working in regulated or highly audited environments (e.g., finance, healthcare, government, SaaS). Suggested Skills ᐧExperience building data science or machine learning platforms. ᐧExperience writing RESTful / GRPC APIs with modern frameworks. ᐧWeb App Development ᐧTechnical Leadership ᐧHands-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 $181,000 to $297,000. 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 an annual performance bonus, stock, and benefits. For additional information, visit: LinkedIn Benefits Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. 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 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. The team is part of the Developer Platform Experience organization with the mission to empower LinkedIn engineers to ship high quality products, with confidence and high velocity. We provide infrastructure, tooling and experiences that enable and promote automatic validations, diagnostics and analytics across various stages of the development lifecycle and various technology stacks. We partner with organizations and engineering teams across the company to build the right strategy and investments that boost engineering productivity and product quality. As a Senior Staff Software Engineer you will define and lead our company-wide strategy for AI-assisted software development-from vision to adoption. You'll partner directly with senior engineering and product leadership to transform how thousands of engineers build, test, and ship software. You'll lead a team of passionate and driven engineers and collaborate across multiple organizations to embed AI into developer workflows, accelerate productivity, and improve software quality through modern, responsible AI integration. **Responsibilities:** + Define the strategy for AI-assisted software development across the company (copilots, test generation, code review, knowledge systems, etc.). + Lead architecture and technical direction for integrating AI into core developer workflows and internal tooling. + Partner with senior leaders to align investments, pilot programs, and success metrics for AI-driven productivity. + Mentor and grow your engineering team focused on applied AI and developer experience. + Collaborate across organizations-platform, developer tools, infrastructure, research-to align roadmaps and scale adoption. + Drive measurable outcomes through data-driven experiments (e.g., PR velocity, CFR, quality metrics). **Basic Qualifications:** + BA/BS Degree in Computer Science or related technical discipline, or related practical experience. + 5+ years of experience in software design, development, and algorithm related solutions + 5+ years of experience in programming languages such as Python, Java, C/C++, C# + 2+ years of experience in an architect or technical leadership position **Preferred Qualifications:** + BS and 10+ years of relevant work experience, MS and 8+ years of relevant work experience, or PhD and 6+ years of relevant work experience. + Strong hands-on experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems. + Development experience with AI tools like Cursor, Claude Code, Github co-pilot + Deep understanding of AI/ML systems, LLM APIs, or developer productivity platforms. + Track record of leading cross-org technical initiatives and influencing senior leadership. + Background in developer platforms, internal tooling, or productivity engineering. + Experience integrating AI systems into developer workflows (e.g., IDE copilots, CI/CD, documentation automation). + Experience with change management and developer adoption at scale. + Strong software architecture, systems design, and programming skills (Python, Java, TypeScript). + Excellent communication skills-you can articulate complex ideas across technical and executive audiences. + A growth mindset: curiosity, humility, and drive to explore how AI can reshape software development. + Experience with large-scale distributed systems and client-server architectures. + Experience with strategic planning, executing on a long term roadmap, team development and scaling processes to support business growth. + Experience leading by influence, formulating and driving technical strategies across various organizations. **Suggested Skills:** + Technical Leadership + Backend development + Developer Productivity + Applications + Large projects **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 $181,000 to $297,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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 is a technical leadership role across the Profile, Company Pages, Messaging, and Groups domains with a particular focus on the infrastructure that powers Identity representation across LinkedIn's products. You will be responsible for understanding wide ranging use cases across products, enhancing our Identity platform to support all applications fast, at massive scale, and with high reliability, and driving direction and alignment about the future of professional Identity in a changing technical landscape. This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. **Responsibilities:** + You will deliver impact by driving innovation while building and shipping software at scale + You will identify problems and opportunities and lead teams to architect, design, implement and operationalize systems + You will work closely with and influence product and/or technology partners regularly to help define roadmap + You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies + You will resolve conflicts between teams within the organization to get alignment and build team culture + You will provide architectural guidance and mentorship to up-level the engineering organization + You will design products/services/tools and code that can be used by others while upholding operational impact of all decisions + You will review others' work and share knowledge **Basic Qualifications:** + BA/BS Degree 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 programming experience in languages such as Python, Java, Javascript, C/C++, C#, Objective-C, Ruby, etc + 2+ years of experience in an architect or technical leadership position **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++ Experience with large-scale distributed systems and client-server architectures + Experience leading by influence, formulating and driving technical strategies across various organizations + Experience leading a large organization **Suggested Skills:** + Technical Leadership + Architectural Mastery + Code Review and Quality Assurance + Cross-organizational collaboration + 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 $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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ******************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 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. 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 + 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 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 + 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 $170,000 - $277,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 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. Qualifications 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 $152,000 - $248,000. 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: ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. 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 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Mountain View, CA. Responsibilities + You will develop tools to improve our ability to rapidly deploy and effectively monitor custom applications in a large-scale Linux environment. + 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 produce high quality software that is unit tested, code reviewed and checked in regularly for continuous integration. + You will serve as a primary point responsible for the overall health, performance, and capacity of one or more of our Internet-facing services. + You will assist in the roll-out and ramp up of new product features and technologies to facilitate our rapid iteration and constant growth. + You will gain deep knowledge of our complex applications and operate effectively in a fast-paced, rapidly changing environment. + 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 + BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience. + 4+ years of industry 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. + Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. + Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. + Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. + Experience with Linux operating systems and troubleshooting production systems at scale. Suggested Skills + Technical Leadership + Advanced Programming Skills + Code Review and Quality Assurance + Advanced Software Design & Architecture + 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 $152,000 to $248,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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 Hiring Team Description: This staff engineer will be part of the "Authentication Experiences" team. The team works on making sure good users can get in and keeping bad actors out through development of "challenges" or experiences that determine whether a user is the legitimate owner of an account. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 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. Qualifications 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 $152,000 - $248,000. 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: ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. 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 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************