Staff Software Engineer

Company DescriptionLinkedIn 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 DescriptionAt 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.About the Team:Our vision is to unlock the full richness of LinkedIn's Economic Graph by building the world's most comprehensive understanding of professional identities and the connections between them. Our team owns LinkedIn's Knowledge Graph, a foundational AI platform powering over 100 internal teams and all major lines of business. We build large-scale AI models, data pipelines, and critical services that transform LinkedIn's data into high-quality, reusable professional intelligence. This includes standardizing core attributes such as skills, titles, companies, and geographic locations, as well as inferring deeper insights into members' expertise, professional relationships, organizational structures, and emerging trends. By connecting and cross-pollinating intelligence across LinkedIn's ecosystem, our work powers products, AI models, and agent experiences across search, recommendations, advertising, and beyond, enabling richer insights, more personalized experiences, and differentiated capabilities.ResponsibilitiesYou will drive the technical roadmap and architecture for an entire product area or major infrastructure domain, aligning engineering efforts with medium to long term business goals. You will design highly complex, multi-tiered distributed systems, making critical high-stakes choices regarding synchronous vs. asynchronous patterns, data storage, and third-party integrations. You are expected to identify, champion, and execute large-scale, cross-functional initiatives that fundamentally improve engineering productivity, system reliability, or operational costs. You will work with engineering directors, product leads, and cross-functional principals to define technical strategies and de-risk highly ambiguous product requirements. You will learn to navigate complex organizational dynamics, mastering the art of technical persuasion and driving consensus across divergent engineering teams. You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. You will identify, leverage, and successfully evangelize opportunities to improve engineering productivity. QualificationsBasic Qualifications BA/BS Degree in Computer Science or related technical discipline, or related practical experience. 4+ years experience in software design, development, and algorithm related solutions. 4+ years programming experience in object-oriented programming languages such as Python, Java, JavaScript, C/C++, C#, Objective-C, or Ruby. Preferred Qualifications BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience. Experience in designing and building infrastructure and web services at large scale. Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. Experience building web applications and services with IDEs, ant, JUnit, etc. Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. Experience authoring comprehensive RFCs and driving architecture review boards for multi-team systems. Strong domain expertise in modern cloud architectures, distributed storage systems, or advanced machine learning infrastructure. Proven track record of transforming ambiguous business opportunities into autonomous agentic systems capable of long-horizon reasoning and decision-making. Suggested Skills Technical Leadership Architectural Mastery Code Review and Quality Assurance Advanced Security Practices Mentoring and Knowledge Sharing You will Benefit from our CultureWe strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices.The pay range for this role is $156,000 - $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit InformationEqual 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: 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 youHaving interviews in an accessible locationBeing accompanied by a service dogHaving a sign language interpreter present for the interviewA 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: 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: Full-timeFunction: EngineeringExperience level: Mid-Senior LevelIndustry: Internet