Careers at Linkedin3

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. You'll join the Tracking team, which builds and operates a foundational data platform that powers LinkedIn's products and data ecosystem. Tracking enables the collection and delivery of product interaction data across LinkedIn's web, iOS, and Android experiences. This data supports product analytics, experimentation, business insights, and machine learning and AI systems across LinkedIn. As an iOS engineer on the Tracking team, you'll build and evolve the native mobile infrastructure that enables LinkedIn to capture high-quality product data at massive scale. You'll work on mobile SDKs and frameworks that run across LinkedIn's iOS experiences, solving challenging problems around performance, reliability, networking, concurrency, data persistence, and battery efficiency. You'll collaborate closely with iOS, Android, backend, infrastructure, data, and product teams to design systems that provide a consistent and reliable tracking experience across LinkedIn. Your work will directly influence the quality and efficiency of data flowing through LinkedIn's large-scale data platform and enable teams across the company to build better products. Responsibilities * Design and implement high-quality iOS frameworks and SDK capabilities used across LinkedIn's native applications. * Build reliable and performant mechanisms for collecting, processing, and delivering product interaction data from iOS devices. * Develop solutions that operate efficiently at LinkedIn scale while minimizing impact on application performance, memory, network usage, and battery life. * Work with Apple's native frameworks and technologies to build robust solutions for concurrency, networking, data persistence, and background processing. * Design and implement resilient client-side systems that can handle network variability, application lifecycle changes, and other real-world mobile conditions. * Collaborate with backend and infrastructure teams to evolve the end-to-end tracking architecture and client/server communication protocols. * Make architectural decisions by applying appropriate synchronous and asynchronous design patterns and balancing performance, reliability, maintainability, and developer experience. * Build and maintain robust CI pipelines and automated testing infrastructure for LinkedIn's iOS SDKs and applications. * Debug and optimize complex issues involving performance, networking, memory, concurrency, and data correctness. * Produce high-quality software that is unit tested, peer-reviewed, and continuously integrated. * Provide technical leadership by driving best engineering practices and contributing to large-scale, cross-functional, and mission-critical initiatives. * Identify and champion opportunities to improve developer productivity, SDK usability, and engineering efficiency across LinkedIn. Basic Qualifications * BS in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience. * 2+ years of industry experience. Preferred Qualifications * 2+ years of relevant iOS development experience. * MS or PhD in Computer Science or related technical discipline. * Strong foundation in computer science, including data structures, object-oriented programming, and algorithms. * Strong experience with Swift and iOS development. * Experience building reusable iOS frameworks, SDKs, or shared mobile infrastructure. * Knowledge of iOS application architecture and common design patterns. * Understanding of multithreading, concurrency, networking, and performance optimization on mobile platforms. * Experience with API design and client/server communication principles. * Knowledge of iOS debugging, profiling, and performance analysis tools. * Experience writing automated tests for iOS applications or frameworks, including XCTest. * Experience working with large-scale production applications and distributed backend systems is a plus. * Strong communication and collaboration skills, with the ability to work effectively across mobile, backend, infrastructure, and product teams. Suggested Skills * iOS Development * Swift * Mobile Application Development * iOS SDK * Mobile Frameworks * Software Architecture * Multithreading & Concurrency * Networking * Performance Optimization India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

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. Our vision is to ensure that every human and resource at LinkedIn is provided a non-repudiable identity that is used for secure communication, every access to data at LinkedIn is safe and all secret material is cryptographically protected. Our mission is to make this security infrastructure intuitive, performant, and secure. We build highly reliable and scalable services and developer-friendly infrastructure that enable engineering teams across the company to create and integrate secure features and proactively protect our members’ data. The Identity Development (IDD) team builds the identity services and developer tools that help keep LinkedIn’s people, systems, and data secure. We make secure identity and access capabilities usable across LinkedIn’s engineering ecosystem—from single sign-on and authentication tooling to host access and directory services. Our work includes services and libraries that support SSO, certificate-based host access, and identity and directory lookups. These capabilities serve internal engineering teams and operate at LinkedIn scale, where reliability, security, and a thoughtful developer experience are essential. You’ll join a collaborative team working across security, infrastructure, and product engineering to make secure access the straightforward path. Role overview As a Senior Software Engineer, you will design, build, and operate identity platforms and tools used by engineering teams across LinkedIn. You’ll take ownership of significant projects from problem definition through production, make sound technical decisions, and partner with teams across the company to deliver secure, reliable, and intuitive solutions. You’ll also help raise the technical bar through design and code reviews, operational excellence, and mentorship. Responsibilities Design, develop, and operate scalable identity and access services, libraries, and developer tools. Lead technical projects end to end: clarify requirements, evaluate trade-offs, produce designs, deliver implementation, and measure results. Build secure authentication and authorization experiences, including capabilities such as SSO, identity lifecycle integrations, certificate-based access, or directory services. Develop reliable distributed systems and APIs that meet demanding availability, performance, and security requirements. Partner with infrastructure, security, and product engineering teams to understand integration needs and deliver solutions that are easy to adopt. Apply security and privacy principles throughout the software lifecycle, including threat-aware design, least privilege, and secure handling of credentials and identity data. Improve service health through monitoring, testing, incident response, and operational practices; participate in the team’s on-call rotation as needed. Contribute to technical direction through design reviews, code reviews, and clear engineering documentation. Mentor engineers and share practices that improve code quality, team effectiveness, and developer experience. Basic Qualifications Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience. 4+ years of professional software engineering experience designing, building, and operating production software. 4+ years of programming experience in one or more languages such as Java, Go, or Python. Experience with identity and access management, authentication, authorization, SSO, directory services, or identity lifecycle management. Experience building backend services, APIs, or distributed systems. Experience taking software changes through development, testing, code review, deployment, and production support. Experience working effectively with technical partners across teams. Preferred Qualifications Experience designing or operating large-scale, highly available distributed systems. Familiarity with security protocols and concepts such as OAuth 2.0, OpenID Connect, SAML, TLS/mTLS, public key infrastructure, SSH, or certificate-based authentication. Experience with infrastructure automation, CI/CD, containers, or Kubernetes. Experience improving the security, reliability, observability, or usability of internal developer platforms. Demonstrated ability to lead technical projects, mentor peers, and influence decisions beyond an individual assignment. Experience leveraging AI for production-grade code development. Interest in building secure systems that are intuitive for developers and operate reliably at significant scale. Suggested Skills Distributed Systems Identity and Access Management Authentication and Authorization Java/Go/Python Production Operations You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $175,000 to $236,000. 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 https://careers.linkedin.com/benefits. 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 and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 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: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

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 Streams Infrastructure team at LinkedIn builds and operates highly scalable and available pub-sub, stream processing and data pipeline services for all of LinkedIn’s data platforms and applications. Kafka, Samza and Brooklin all originated at LinkedIn and form the backbone of the streaming infrastructure. More than 20+ trillion messages/day are ingested into the Kafka clusters from tracking site engagement to metrics and logging, while over 4+ trillion messages/day are processed by Samza for real-time data analytics that powers member notifications, threat screening, ads infrastructure etc. Data pipelines which include Brooklin moves over 6+ trillion messages/day and powers tens of thousands of data streams including Kafka mirroring. With tremendous scale comes unique scale and operability challenges. Because we host one of the largest scale streaming systems in the industry, we work on these challenges to ensure no data loss, multi-tenancy with strong failure isolation, and balanced work distribution / coordination, all while maintaining low latency delivery of events. 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: - You will build and ship software, drive architectural decisions and implementation across the Stream Processing infrastructure at Linkedin (Apache Kafka, Northguard, Apache Flink, and other new initiatives) - You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. - You will lead cross team/cross functional discussions and drive alignment on product/technology strategy. - You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. - You will act as one of the primary domain experts to influence technology choices. - You will lead by example to build a culture of craftsmanship and innovation. - You will act as someone who uses AI to solve problems, improves productivity and uplifts the team to do so. 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 https://careers.linkedin.com/benefits. 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 and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 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: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

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 QA Agent team is focused on building and evolving an AI-driven testing platform that automates quality validation across web, iOS, and Android experiences. The team's core product, QA Agent, combines AI-powered navigation, bug detection, and cross-platform test execution to help identify product issues through realistic end-to-end testing. The platform is designed to explore products similarly to a human tester, detect issues ranging from obvious failures to increasingly subtle defects, and support testing across multiple environments and devices. This role will lead a team responsible for advancing both the product and technical foundations of the QA Agent platform. The manager will help guide investments across AI, infrastructure, and product-focused initiatives while partnering closely with engineering and product stakeholders. Success in the role requires balancing technical depth with broad systems thinking, helping the team scale the platform, expand its capabilities, and deliver meaningful quality improvements across the software development lifecycle. Responsibilities Lead, coach and manage core team of engineers working on building the infrastructure. Participate with senior management in developing a long-term technology roadmap for the team and company. Have the ability to dive deep into technical discussions to challenge the status quo, and steer the team in the right direction/to push the envelope. Communicate and collaborate effectively with stakeholders across engineering and business leadership. Help the team realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills. Drive a culture of operational excellence. Lead the team into defining performance goals, metrics and building the infrastructure and tooling necessary to maintain a high quality bar and detect issues in real time. Create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for quality. You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute critical, large-scale, cross-functional, and company-wide programs. Basic Qualifications BS/BA in Computer Science or related technical field, or equivalent related experience 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training 5+ years industry experience in software design, development, and algorithm related solutions. 3+ years experience in large-scale system design and software development Experience programming in object-oriented and/or functional programming languages (like Java/Python/C/C++/Scala/etc.) Preferred Qualifications MS or PhD in Computer Science or related technical discipline 2+ years of hands-on software engineering/technical management and people management experience 1+ years experience leading developer productivity and quality automation efforts 5+ years programming experience in languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages. Experience in architecting, building, and running large-scale distributed systems Experience in the design and development of performant, highly available, scalable web applications Successful track record of managing teams of engineers to deliver multiple projects on time and with quality Active involvement in the creation and execution of technical strategies and roadmaps Suggested Skills Object-oriented programming Web services Infrastructure You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $175,000 - $287,000. 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 https://careers.linkedin.com/benefits. 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 and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 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: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn’s Data Science and Applied Science teams use data, experimentation, causal inference, machine learning, and AI to solve important product and business problems. With more than 1 billion members globally and products that span both consumer and enterprise use cases, LinkedIn offers scientists the opportunity to work on problems that directly shape member experience, customer value, growth, and monetization. We are looking for a strong individual contributor who can bring rigorous science to practical problems. In this role, you will work across areas such as experimentation, causal inference, prediction, measurement, optimization, personalization, and large-scale machine learning. You will be expected to go deep technically, build methods and models that fit real product needs, and turn promising ideas into tools, platforms, and systems that can be used at scale. The ideal candidate combines technical depth with strong product and business judgment. You should be comfortable developing methods from the ground up, adapting existing techniques to new problems, and working closely with cross-functional partners to make better decisions and deliver measurable impact. The work may span areas such as auctions, matching, market design, personalization, AI-powered product experiences, and other high-impact systems across LinkedIn. Responsibilities Independently identify and frame complex, ambiguous data science problems, surfacing high-impact opportunities for product and solution improvement. Lead advanced analyses, experimentation, machine learning, and causal inference efforts to inform product strategy and data-driven decisions. Leverage AI tools in day-to-day workflows to increase productivity Design and refine modeling approaches by evaluating technical tradeoffs and developing scalable, replicable solutions with measurable business and product impact. Research and evaluate historical approaches, internal repositories, external literature, and novel methods to determine the best path forward when standard solutions are insufficient. Establish or improve methodological frameworks, review peer work, and uphold high standards for scientific rigor, reproducibility, fairness, and analytical integrity. Develop and implement advanced data science methodologies and ML models that are accurate, unbiased, robust, and aligned with scientific best practices. Build and improve production-ready data science solutions while accounting for latency, cost, infrastructure, reliability, and maintainability constraints. Partner cross-functionally with Product, Engineering, AI, and leadership to translate strategic priorities into clear data science roadmaps and deliverables. Influence stakeholders through clear insights, recommendations, and advocacy for AI/ML methodologies and data-driven innovation. Basic Qualifications Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. 5+ years of industry or relevant academia experience Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl) Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python) Preferred Qualifications 7+ years of industry or relevant academia experience Doctorate in Statistics, Biostatistics, Applied Mathematics, Engineering, Operations Research, Economics, Informatics, Computer Science, Data Science or related field. Suggested Skills Machine Learning Statistics Programming Languages You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $175,000 - $287,000. 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 https://careers.linkedin.com/benefits. 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 and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 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: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

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 Enterprise Infrastructure Engineering (EIE) team builds and operates the Compute, Storage, Network, and Public Cloud infrastructure that powers LinkedIn’s enterprise platforms and services. The team delivers reliable, secure, and cost-efficient foundations across offices, data centers, and Azure, enabling critical business systems and modern CI/CD platforms for internal applications. We are seeking a seasoned engineering leader to own strategy, execution, and outcomes for LinkedIn’s enterprise infrastructure. This leader will be responsible for the end-to-end portfolio across network (Wi-Fi, VPN, global sites), compute and storage (Windows/Linux Servers and Endpoints, data services, identity), and Azure tenants/regions, including CI/CD platforms supporting internal applications like LangSmith, AI integrations, and enterprise data pipelines. Roles and Responsibilities: Define and drive a multi-year technical infrastructure vision across network, compute, storage, and Azure, balancing reliability, security, velocity, and cost efficiency. Own service reliability for global network, routing, firewall telemetry, and identity/access pathways Drive AI transformation and automation for Infra, developer velocity, and operations Partner with InfoSec to harden posture (e.g., device identity, AAA, policy enforcement), complete rollouts with high compliance across global interfaces. Lead Azure governance for tenants, subscriptions, and shared services; scale visibility dashboards, cost guardrails, and remediation workflows in partnership with platform teams. Drive Zero Trust initiatives to modernize remote and enterprise access; coordinate cross-functional execution spanning network architecture, client upgrades, and policy refactoring. Oversee Infra migrations with predictable delivery and minimal user impact Provide direction for internal CI/CD platforms that serve enterprise applications (e.g., integrations for agent workflows, data pipelines) to improve developer velocity and operational rigor. Help lead the strategy and end-to-end delivery of corporate endpoint platforms and global VD to provide scalable device management and engineering escalation. Scale org effectiveness across distributed teams; ensure strong on-call, runbooks, and incident leadership practices. Manage multi-vendor ecosystems, negotiate contracts, and align investments to business outcomes and platform roadmaps. Establish annual goals/OKRs and measurable outcomes tied to platform health, compliance, and TCO (e.g., availability, MTTR, capacity, cost per workload). Hire, coach, and grow a diverse leadership bench (Sr. Managers, Managers, Staff+ ICs); foster a culture of clarity, accountability, craftsmanship, and bias for action. Basic Qualifications: BA./B.S. Degree or higher in Computer Science or related technical discipline, or equivalent practical experience. 12+ years of experience in infrastructure/software engineering with 8+ years of people management experience. Experience in areas such as global network, compute, storage, and public cloud (Azure) portfolios in enterprise environments. Preferred Qualifications: Demonstrated outcomes in Infra reliability engineering, security and compliance programs, and cost optimization across complex ecosystems. Deep expertise in Network architecture, Zero Trust Network Access (ZTNA), firewall telemetry, and distributed logging pipelines. Hands-on leadership across Azure governance (tenants, subscriptions, policy), platform observability, and FinOps practices. Strong experience in CI/CD, Infrastructure-as-Code, and enterprise developer platforms supporting internal applications. Track record of managing multi-vendor environments and large capital/operating budgets tied to business outcomes. Exceptional stakeholder management with executive communication and data-driven decision-making. Ability to clearly communicate with all levels of the organization and across functions, and translate strategy to execution. Strong analytical and communication skills with the ability to influence and work effectively across organization boundaries. Ability to maintain good judgment in fast-paced, high-stress environments. Ability to innovate and scale ideas/processes to large teams. Experience managing complex software teams. Suggested Skills: Infrastructure Engineering Leadership Azure Cloud Storage Networks 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 $215,000 to $352,000. 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 https://careers.linkedin.com/benefits. 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