Staff Software Engineer jobs at Airbnb

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 This role will be based in Mountain View, CA. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers hybrid work options, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when your team needs to be together. As part of LinkedIn's AI Platform group, the AI Training team is responsible for developing and maintaining highly available and scalable deep learning training solutions to power our rapidly growing AI use cases. The team is responsible for scaling LinkedIn's AI model training with hundreds of billions of parameters for all AI use cases from recommendation models, large language models (Generative AI), to computer vision models. We optimize training performance across algorithms, AI frameworks, infrastructure software, and hardware to harness the power of our GPU fleet with thousands of latest GPU cards. The team also works closely with the open source community and has many open source committers (TensorFlow, Horovod, Ray, Hadoop, etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning, and advanced LLM Agents work for Training infrastructure. As a Principal Staff Software Engineer on the AI Training Infra team, you will play a crucial role in leading and building the next-gen training infrastructure to power AI use cases. You will design and implement high performance AI Training pipeline, data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, data parallelism, Zero, automatic mixed precision and kernel fusion. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention and more. Responsibilities * Owning the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. * Designing, implementing, and optimizing the performance of large-scale distributed training for personalized recommendation as well as large language models. * Improving the observability and understandability of various systems with a focus on improving developer productivity and system sustenance. * Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team. * Working closely with the open-source community to participate and influence cutting edge open-source projects (e.g., PyTorch, GNNs, DeepSpeed, Huggingface, etc.). * Functioning as the tech-lead for several concurrent key initiatives for the Training Infrastructure and defining the future of AI training platforms. Qualifications Basic Qualifications * BS/BA in Computer Science or related technical field or equivalent technical experience * 7+ years of industry experience in software design, development, and algorithm related solutions * 7+ years of experience programming in object-oriented languages such as Python, C++, Java, Go, Rust, Scala * 5+ years of experience as an architect, or technical leadership position * 5+ years of experience in the industry with leading / building deep learning systems * Hands-on experience developing distributed systems or other large-scale systems Preferred Qualifications * MS or PhD in Computer Science or related technical discipline. * 12+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position * 12+ years of experience in an object-oriented programming language such as Python, C++, Java, Go, Rust, Scala * 5+ years of experience with large-scale distributed systems and client-server architectures * Co-author or maintainer of any open-source projects * Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems * Familiarity with containers and container orchestration systems * Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Suggested Skills * ML Algorithm Development * Machine Learning / Deep Learning * Big Data * Stakeholder Management LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $207,000 to $340,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** 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. 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. Qualifications 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 Additional Information 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. Job Description This role will be based in Sunnyvale. 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, our Online Infrastructure organization powers systems and technologies that enable rich, online access to LinkedIn's economic graph data and insights for all of LinkedIn's online features and capabilities. We do this by building cutting edge and innovative planet-scale HA systems, and by relentlessly pursuing operational excellence and customer obsession to support LinkedIn's product teams. The Graph and Online Analytics Infrastructure group in the Online Infra organization is at the cutting edge of building online distributed databases and services that power real-time insights and graph traversals for our members directly and as critical real-time computations for our member-facing features like recommender systems, targeting and personalization use cases. As part of the Graph and Online Analytics Infrastructure group, you will have the opportunity to devise and own our multi-year, multi-systems Online Analytics strategy to support LinkedIn's growth at this critical juncture of our AI transformation for our members, customers and for ourselves. You will be driving LinkedIn's Online Analytics strategy and its implementation with the rigor and pragmatism demonstrated by your world-class expertise in the domain and prior successes in generating critical business outcomes. You will play a pivotal role in building systems and services in the domain, developing talent, augmenting culture of rigor and customer obsession and partner across Product Platforms, Online Infra and across the company to realize the benefits of online and real-time analytics at scale. As the primary domain expert, you are expected to provide technical leadership, drive architectural decisions and implementation across the group. You will research, develop, build and ship cutting edge technologies in partnership with the group to achieve Linkedin' business goals. You will inculcate and reinforce rigor, operational excellence and customer obsession in our group and our organization. Responsibilities * Architect Real-Time Analytics Platforms: Design and implement distributed query engines and APIs for sub-second latency across heterogeneous systems. * Own and Evolve Core Systems: Drive the roadmap, scalability, and operational excellence of our existing web-scale analytics systems; ensure these systems meet future analytics demands. * Drive Service and Operational Excellence: Define and drive service and operational excellence for online analytics services at consumer-internet scale. * Culture Builder: Establish and nurture a culture of customer obsession and business impact, combined with high rigor, technical craft, and innovation. * Cross-System Optimization: Lead architectural decisions for query planning, caching, and optimizations across multiple engines. * Technical Leadership: Mentor senior engineers, set technical standards, and foster a culture of excellence. * Industry Engagement: Represent the organization in real-time analytics forums Qualifications Basic Qualifications * BS in Computer Science or equivalent. * 10+ years in distributed systems and real-time analytics platforms. * 5+ years in technical leadership roles for OLAP or real-time query engines. * Experience in developing and scaling large scale databases or analytics systems * Experience with building columnar storage, vectorized execution, and cost-based optimizers. * Experience with coding in Java, C++, or Rust; knowledge of query execution, indexing, and concurrency. Preferred Qualifications * MS/PhD in Computer Science or related field. * Experience with distributed online analytics systems and databases. * Expertise in query federation, semantic modeling, and BI integration. * Expertise with columnar storage, vectorized execution, and rule-based as well as cost-based optimizers. * Experience building interactive services or analytics APIs for large-scale systems. * Experience with communication and ability to influence cross-functional teams. * Background in industry thought leadership. * Demonstrated ability to align technical decisions with business outcomes and drive customer-centric innovation. Suggested Skills: * Distributed Systems design * Real-time analytics platforms * Cloud-native architecture * Deep understanding of concurrency, distributed algorithms, and data structures. * Familiarity with columnar storage, vectorized execution, and query optimizers. Additional Information 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. Job Description 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. Qualifications 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 Additional Information 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 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 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. The team builds high-quality products and services to ensure the health and reliability of LinkedIn at scale. Our products empower LinkedIn engineers to deliver value to members at a high velocity and without defects. We strive to prevent these defects early in the SDLC process, automating solutions to mitigate issues on behalf of engineers when possible. In addition, our metrics have high visibility across R&D and are leveraged by the lines of business to drive long-term strategy and investment in their organizations. As a Technical Lead on the Edge and Traffic team, you will drive the technical direction and development of LinkedIn's traffic engineering, content delivery, and load balancing infrastructure. You will play a critical role in shaping the scalability, reliability, and efficiency of our global traffic systems while collaborating closely with engineers across product and infrastructure teams to build the next generation of high-performance networking solutions. Responsibilities * Develop and drive technical roadmaps for LinkedIn's content delivery, proxy, traffic routing, and load balancing infrastructure. * Establish engineering and design best practices for building high-scale, reliable, and performant traffic systems. * Lead design reviews, incident post-mortems, and production readiness reviews, ensuring adherence to reliability and scalability standards. * Significantly contribute to the design and development of key projects, providing hands-on engineering leadership. * Collaborate closely with workload owners to identify and address both current and emerging technical requirements. * Design, deploy, and optimize traffic routing and security over multiple content delivery networks. * Implement and maintain proxy systems to enhance traffic distribution, load balancing, and fault tolerance. * Drive automation, observability, and fault tolerance initiatives, reducing downtime and improving MTTR (Mean Time to Recovery). * Analyze network traffic telemetry to optimize load balancing, manage traffic spikes, and plan for future capacity needs. * Establish and monitor key performance metrics, SLAs, and SLOs for DNS and traffic routing systems. * Act as a technical mentor, recruiting, developing, and coaching junior engineers to strengthen the team's expertise. Qualifications Basic Qualifications * Bachelor's degree in Computer Science, Network Engineering, Electrical Engineering, or equivalent experience * 8+ years of experience in network infrastructure, site reliability engineering, or large-scale distributed systems. * Expertise in traffic engineering, load balancing, and DNS resolution in high-scale, globally distributed environments. * Coding experience in one or more languages such as Python, Go, Java, or C++. Preferred Qualifications * MS or PhD degree in Computer Science or related technical discipline * 10+ years experience working in cloud-scale or web-scale environments. * Deep understanding of edge networks, CDNs, and software-defined networking (SDN). * Experience with networking protocols and traffic management technologies (e.g., BGP, Anycast, TLS, HTTP/2, QUIC). * Hands-on experience with traffic routing platforms such as IPVS, Apache Traffic Server (ATS), HAProxy, or Envoy. * Proven ability to drive architectural decisions, solve complex scaling challenges, and optimize system performance. * Excellent communication and collaboration skills, with the ability to influence and align cross-functional teams. Suggest Skills * Edge & Network Engineering * Load Balancing * Distributed Systems * 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 ************************************** 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 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 Principal 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 touches every aspect of our engineering organization. We are looking for 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 engineers to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment. If you are passionate about 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. Qualifications 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: * 15+ years of experience in software design, development, and algorithm related solutions * 15+ years of programming experience in an object-oriented programming language such as Go, Java, C/C++, Rust * 5+ years of experience in a technical leadership position * 5+ years of experience building large-scale compute infrastructure, and distributed systems * Demonstrated understanding of operating system fundamentals, container technologies, and systems knowledge. * Experience building and operating cluster management solutions such as Kubernetes. * Experience with IaaS systems and capacity management. * Experience with networking and security principles. * Experience in leading technical teams and mentoring other engineers Suggested Skills: * Distributed Systems * Kubernetes * Technical Leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $226,000 to $369,000. 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. 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 LinkedIn Marketing Solutions (LMS) allows organizations to connect with the world's largest community of business professionals by serving ad content to our members through a variety of products and platforms. The Audience, Identity and Measurement (AIM) team is at the forefront of industry innovations related to privacy, identity, and ads performance measurement. The team is responsible for building the ads data platforms leveraged within LinkedIn Marketing Solutions and across LinkedIn along with the product experiences that deliver powerful and actionable insights to our advertising customers on the performance of their ads campaigns. This team builds the end-to-end systems related to privacy-centric ads data collection, validation, modeling and analysis, ads attribution (i.e, cause & effect), and impact analysis and ROI performance reporting. Responsibilities: * You will build and ship software at scale to deliver impact * You will drive architectural decisions and implementation across the engineering organization. * You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. * You will lead cross team/cross functional discussions and drive alignment on product/technology strategy. * You will establish a culture that values diverse viewpoints while navigating complex decisions. * You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. * You will act as the primary domain expert to influence technology choices. * You will lead by example to build a culture of craftsmanship and innovation. Qualifications 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 * 7+ years of industry experience. * 5+ years in an architect or technical leadership position Preferred Qualifications: * BS and 12+ years of relevant work experience, MS and 10+ years of relevant work experience, or PhD and 8+ years of relevant work experience. * Experience in designing and implementing technologies for highly distributed platforms. * Familiarity with multiple platforms (Linux, Windows, etc.), languages (C++, Python, etc.). * Experience in the Advertising/Marketing Industry particularly with Ads Measurement * Experience in Data Science, Machine Learning and Artificial Intelligence. * Experience designing and building scalable agentic systems. Suggested Skills: * Software Engineering * Technical leadership * Online advertising * Technology Strategy * Cross-functional work Additional Information 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 $209,000 - $343,000. 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 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. The Capacity Efficiency engineering organization is responsible for matching the supply of hardware and software resources at LinkedIn to current and anticipated demand for those resources. We deliver impact by ensuring that we have the capacity to meet the needs of traffic from our billion+ members. We do this while also optimizing the cost of these resources. We are seeking a Principal Staff Software Engineer to join LinkedIn's Capacity Infrastructure team to play a critical role in designing and implementing the foundational datasets and tools that power the visibility, cost attribution and planning of LinkedIn Infrastructure. As a Principal Engineer, they will mentor team members, uphold a high bar for technical excellence, and elevate the team's overall capabilities. They will also embody and promote LinkedIn's Core Values - transformation, collaboration, and results - nurturing a culture that reflects these principles. In this role, you'll collaborate closely with cross-functional partners, finance, bizops, product and capacity planning and customer stakeholders to strategize, design, and lead forward-thinking solutions. A hands-on approach to complex problem-solving, coupled with strong leadership and a commitment to delivering high-quality outcomes, is critical to your success. Responsibilities * We take an engineering-first approach to elevate infrastructure. As a Principal Engineer, you'll be driving the strategy to reduce 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. * 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 Effective Capacity Management and on Efficiencies * Drive consensus across cross-functional teams within a matrixed organization, fostering alignment and building a cohesive and collaborative team culture. Qualifications Basic Qualifications * BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience * 10+ years of experience in software design/development * 7+ years in a technical leadership role overseeing large, cross-functional teams.. * 7+ years' experience in/with programming skills in languages such as Python, Go, Java, Rust, Scala, or C++ * Hands-on experience developing distributed systems or other large-scale systems Preferred Qualifications * MS Degree and/or PhD in Computer Science or related technical discipline, or equivalent practical experience * 10+ years programming experience in an object-oriented programming language such as Java, C/C++, Python * Infrastructure capacity planning and forecasting experience in the tech industry * Knowledge of AI/ML and data analytics * Experience with large-scale distributed systems and client-server architectures * 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 * Technical Leadership * Technical strategy * Physical Infrastructure * Capacity Management/Planning * 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 $209,000 - $343,000. 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 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. Qualifications 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 ************************************** 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. Job Description This role will be based in Mountain View, 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 take the lead in building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: service delivery platform, scalable data storage infrastructure, graph infrastructure, analytics platform, streams processing and data pipelines, cutting-edge search platform, best-in-class AI/ML infrastructure, Kubernetes compute infrastructure, media infrastructure, 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 massive scale. LinkedIn has pioneered many well-known open-source infrastructure projects including Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure technologies 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. As a Sr. Staff Software Engineer, you will be a key technical leader and role model within the organization. We are looking for a technical lead who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. You will foster LinkedIn's culture and values around transformation, collaboration and results. You will work closely with technical leadership and management within and outside our organization to contribute to building best-in-class core systems infrastructure for LinkedIn. Responsibilities: * Deliver impact by driving innovation while building and shipping software at scale * Provide architectural guidance and mentorship to up-level the engineering organization * Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies * Design products/services/tools and code that can be used by others while upholding operational impact of all decisions * Functioning as the tech-lead for multiple key initiatives, identify problems and opportunities and lead teams to architect, design, implement and operationalize systems * Partner closely with teams within the org and customers to execute on the vision for long-term success of our core infrastructure teams * Working closely with the open-source community to participate and influence cutting edge open-source projects. * Keep a platform first approach while designing products/service Qualifications Basic Qualifications: * BS/BA in Computer Science or related technical field or equivalent technical experience * 5+ years of industry experience in software design, development, and algorithm related solutions * 5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala * 2+ years of experience as an architect, or technical leadership position * Hands-on experience developing large-scale, distributed systems, and databases Preferred Qualifications: * MS or PhD degree in Computer Science or related technical discipline * 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 experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, Scala * 5+ years of experience with large-scale distributed systems and client-server architectures * Experience in architecting and designing large-scale distributed systems related to data infrastructure, IaaS, ML/AI infrastructure, storage, graph, Kubernetes, and platforms. Suggested Skills: * Distributed Systems * Technical Leadership * Infrastructure as a Service (IaaS) * Systems Infrastructure 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 ************************************** 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: ********************************************

We're looking for inquisitive, collaborative interns to join our engineering teams. Working closely with mentors and product, design, data, and back‑end engineers, you'll learn how large‑scale systems operate and play a meaningful role in building new technologies, features, and tools. Expect real projects, supportive teammates, and plenty of opportunities to explore ideas that make a difference for our teams and Pinners. What you'll do: Demonstrate accountability and quality in your work while receiving support and guidance from your mentor, manager, and peers Execute scoped technical tasks end-to-end to help build the future of Pinterest Deliver code that is well-documented, tested, and operable Communicate new ideas and opinions with candor as you grow both professionally and personally through learning and development opportunities Collaborate with your team and contribute to real projects that impact Pinterest Opportunities to interact with leaders and employees across Pinterest and to participate in a variety of optional company events What we're looking for: This position requires current enrollment in a school or education program in which the individual is working towards a Bachelor's or Master's in Computer Science (CS) or a related technical field Obtain Master's in Computer Science or a related technical field by June 2028 2-3 years of completed CS classes (Intro to CS and Algorithms, Advanced Algorithms, Operating Systems and Data Structures are all great!) Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms Experience with JavaScript, CSS, C++, HTML, Python, Java, or Go as we use a variety of programming languages and tools Non-academic coding experience (i.e. hack-a-thons, code challenges, personal projects, GitHub, Open Source, volunteer coding experience, conference participation, etc.) You have current authorization to work in the US and will not require employer visa sponsorship now or in the future Demonstrated curiosity and a desire to tackle and solve complex problems We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 In-Office Requirement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration [1-2 times per week] and therefore needs to be in a commutable distance from one of the following offices [San Francisco, Palo Alto]. Relocation Statement: This position may be eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only The minimum and maximum salary for this position is $8,250 - $11,000 monthly. #LI-HYBRID #LI-FILS

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. 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. 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. As a Sr. Staff 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: * Owning the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. * Designing, implementing, and optimizing the performance of large-scale distributed 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. * Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team. * Working closely with the open-source community to participate and influence cutting edge open-source projects (e.g., vLLMs, PyTorch, GNNs, DeepSpeed, Huggingface, etc.). * Functioning as the tech-lead for several concurrent key initiatives AI Infrastructure and defining the future of AI Platforms. Qualifications Basic Qualifications: * BS/BA in Computer Science or related technical field or equivalent technical experience * 5+ years of industry experience in software design, development, and algorithm related solutions * 5+ years of experience programming in object-oriented languages such as Python, C++, Java, Go, Rust, Scala * 2+ years of experience as an architect, or technical leadership position * 5+ years of experience in the industry with leading / building deep learning systems * Hands-on experience developing distributed systems or other large-scale systems Preferred Qualifications: * MS or PhD in Computer Science or related technical discipline. * 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 experience in an object-oriented programming language such as Python, C++, Java, Go, Rust, Scala * 5+ years of experience with large-scale distributed systems and client-server architectures * Experience building ML applications, LLM serving, GPU serving. * Co-author or maintainer of any open-source projects * Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems * Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Suggested Skills: * ML Algorithm Development * Machine Learning and Deep Learning * Information retrieval / recommendation systems * Technical leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** 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. 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. 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. 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). Qualifications 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 Additional Information 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 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. The Network Infrastructure Observability team is responsible for delivering the platforms, tools, and insights that ensure our global network operates with high reliability, performance, and efficiency. We build large-scale data pipelines, real-time monitoring systems, and intelligent analytics that empower engineering and operations teams to detect anomalies, predict failures, and optimize network behavior. Our work directly impacts availability, capacity planning, and service health across all data center and backbone network environments. As a Senior Staff Software Engineer, you will serve as a technical leader driving the architecture, innovation, and execution of next-generation observability systems for our network infrastructure. You will define long-term technical direction, lead cross-org initiatives, mentor senior engineers, and drive solutions for complex distributed systems challenges at massive scale. This role requires deep expertise in backend systems, data processing, and large-scale system design, with strong understanding of networking concepts. Responsibilities: * Lead the architectural design and implementation of large-scale observability platforms, including telemetry ingestion, real-time analytics, network health monitoring, and anomaly detection. * Drive long-term strategy and roadmaps for network observability, ensuring alignment across infrastructure and network engineering teams. * Build and optimize data pipelines and streaming platforms capable of handling high-volume telemetry from data centers, backbone, and edge networks. * Partner with network domain experts to define meaningful SLIs/SLOs, improve network resiliency, and drive proactive detection of failures. * Develop automation, self-healing workflows, and intelligent alerting mechanisms to reduce operational toil and increase network reliability. * Collaborate with cross-functional engineering groups to ensure system interoperability, standardization, and seamless data exchange across infrastructure layers. * Mentor and guide engineers across teams, setting best practices for system design, code quality, and operational excellence. * Influence organizational strategy through technical leadership, design reviews, and cross-group technical forums. * Drive adoption of modern technologies and architectural patterns to improve latency, scalability, and observability coverage. Qualifications Basic Qualifications: * BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience * 10+ years of experience building and operating large-scale distributed systems or data-intensive backend platforms. * Experience with programming languages such as Go, Java, Python, C++, or similar. * Experience with streaming systems (Kafka, Flink, Spark Streaming, or similar) and high-throughput data pipeline architectures. * Experience with networking fundamentals: routing, switching, TCP/IP, network telemetry, SNMP, flow data, or similar. * Proven ability to lead complex technical initiatives end-to-end in a multi-team environment. * Background in system design skills with focus on scalability, reliability, and performance. * Experience with container platforms (Kubernetes), and microservices. Preferred Qualifications: * Experience working in hyperscale or large distributed cloud environments. * Background in building observability stacks (metrics, logs, traces) or network monitoring platforms. * Familiarity with machine learning for anomaly detection or predictive analytics. * Experience with infrastructure automation or configuration management tools. * Experience with influencing across organizations (tech lead, architect, principal/IC leadership roles). Suggested Skills: * Distributed Systems * Observability * Monitoring Systems * 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 $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 ************************************** 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. Job Description 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. Qualifications 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: ************************************** 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. 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. Responsibilities: * You will own the front-end development for one or more of our products and collaborate with visual/interaction designers, other engineers, and product managers to launch new products, iterate on existing features, and build a world-class user experience. * You will implement cutting-edge technologies and will be writing state-of-the-art code to keep LinkedIn at the cutting edge of current technology. * Your specific expertise will be required to make the site delightful, secure, performant and accessible to all our members. * You will meet with colleagues including product managers, designers and other engineers assigned to your project(s). * 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 writing clean JavaScript including experience with modern frameworks (Angular/Ember/React) and debugging tools (Chrome Dev Tools, etc. ) * Expert-level knowledge of Ember. * Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability. * Prior experience building public API's with Java. * Experience building large-scale consumer facing products. Suggested Skills: * Technical Leadership * Mentoring and Knowledge Sharing * Code Review and Quality Assurance * Advanced Programming Skills * Web Development You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $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. 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 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. Qualifications 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 ************************************** 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: ********************************************

The Community You Will Join: The Community Support Platform (CSP) at Airbnb is a critical system that drives our customer support operations. CSP empowers Airbnb's global network of Community Support ambassadors, utilizing cutting-edge technology to deliver exceptional customer service with high efficiency. Our CS Product team's vision is to deliver a seamless user experience by integrating AI with our support ambassadors' expertise. This role focuses on converging Software Engineering and cutting-edge Gen AI techniques to create significant product impact for internal and external customers. Key responsibilities include crafting AI prompts, implementing RAG, performing model fine-tuning, designing AI orchestration workflows, dataset engineering, and shaping innovative GenAI-based backend systems efficiently and at scale. This role is pivotal in revolutionizing Airbnb's approach to customer service. The Difference You Will Make: You will work with a team of talented and diverse software engineers to deliver innovative backend solutions and prompt systems that enhance AI-driven workflows for customer service. Utilizing your expertise, this role will involve designing efficient systems, tools, and actions to empower AI capabilities seamlessly to automate and support the end to end workflow of our CS ambassadors. Each team member brings unique skills, thought leadership, and technical expertise to address these challenges. A Typical Day: Collaborate cross-functionally with product, design, engineering, and data science teams to develop backend systems and enhance AI prompt effectiveness. Drive the technical vision and strategy for workflow and backend optimization. Lead and contribute to the full development cycle: technical design, implementation, testing, experimentation, and deployment. Participate in code and design reviews, offering constructive feedback to improve technical quality. Optimize system availability, performance, and scalability while pushing enhancements for improved efficiency. Your Expertise: 9+ years of software development experience in service-oriented architectures and backend development. Expertise in workflow optimization and backend systems, with a focus on scalable and flexible architecture. Expertise in designing and iterating on prompt engineering to fine-tune AI capabilities for AI/LLM-driven scenarios. Expertise of RAG patterns, memory routing, and agent planning. Expertise in integrating LLMs with APIs, vector databases, and orchestration framework. Proficiency in crafting backend systems focusing on technical quality, efficiency, and resilience. Excellent collaboration and communication skills to work effectively across teams and domains. Passion for agile development, system optimization, and team productivity enhancements. Bachelor's and/or Master's/Ph.D. degree, preferably in Computer Science, or equivalent practical experience. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.