{"id":3991478,"url":"https://alion.io/job/linkedin-staff-software-engineer","title":"Staff Software Engineer","company":{"id":13163,"name":"LinkedIn","domain":"linkedin.com","url":"https://alion.io/company/linkedin","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":15,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":156000,"max":255000,"currency":"USD","period":"year","gross":null,"usd_annual":255000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"JavaScript","optional":false},{"name":"Objective-C","optional":false},{"name":"Python","optional":false},{"name":"Ruby","optional":false},{"name":"AI Agents","optional":true},{"name":"JUnit","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Machine Learning","optional":true},{"name":"SQL","optional":true},{"name":"TCP/IP","optional":true}],"status":"live","first_seen_at":"2026-11-09T22:13:28Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T23:34:48Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nJoin us to transform the way the world works.\n 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.\nAbout the Team:\nOur 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.\nOur 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.\nBy 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.\nResponsibilities\nYou 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. \nYou will design highly complex, multi-tiered distributed systems, making critical high-stakes choices regarding synchronous vs. asynchronous patterns, data storage, and third-party integrations. \nYou are expected to identify, champion, and execute large-scale, cross-functional initiatives that fundamentally improve engineering productivity, system reliability, or operational costs. \nYou will work with engineering directors, product leads, and cross-functional principals to define technical strategies and de-risk highly ambiguous product requirements. \nYou will learn to navigate complex organizational dynamics, mastering the art of technical persuasion and driving consensus across divergent engineering teams. \nYou will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. \nYou will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. \nYou will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. \nYou will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. \nYou will identify, leverage, and successfully evangelize opportunities to improve engineering productivity. \n Basic Qualifications\nBA/BS Degree in Computer Science or related technical discipline, or related practical experience. \n4+ years experience in software design, development, and algorithm related solutions. \n4+ years programming experience in object-oriented programming languages such as Python, Java, JavaScript, C/C++, C#, Objective-C, or Ruby. \nPreferred Qualifications\nBS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience. \nExperience in designing and building infrastructure and web services at large scale. \nExpert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. \nProven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. \nExperience building web applications and services with IDEs, ant, JUnit, etc. \nExperience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. \nExperience authoring comprehensive RFCs and driving architecture review boards for multi-team systems. \nStrong domain expertise in modern cloud architectures, distributed storage systems, or advanced machine learning infrastructure. \nProven track record of transforming ambiguous business opportunities into autonomous agentic systems capable of long-horizon reasoning and decision-making. \nSuggested Skills\nTechnical Leadership \nArchitectural Mastery \nCode Review and Quality Assurance \nAdvanced Security Practices \nMentoring and Knowledge Sharing \nYou will Benefit from our Culture\nWe 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.\nThe 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.\nThe 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.\n Equal Opportunity Statement\nWe 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.\nLinkedIn 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.\nIf 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.\nFill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36\nReasonable 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:\nDocuments in alternate formats or read aloud to you\nHaving interviews in an accessible location\nBeing accompanied by a service dog\nHaving a sign language interpreter present for the interview\nA 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.\nLinkedIn 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.\nSan Francisco Fair Chance Ordinance\nPursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.\nPay Transparency Policy Statement\nAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.\nGlobal Data Privacy Notice and Compliance Posters for Job Candidates\nPlease 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.","description_format":"text","description_chars":9162,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["E-learning","Job Boards & Aggregators","Professional 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