LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be based in 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. 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. 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 Principal Staff Software Engineer on the Validation Engineering team, you will be responsible for driving the technical direction and development of cutting-edge validation and resilience infrastructure, in addition to shaping the strategy and vision of our organization as LinkedIn’s business and technology landscapes evolve and shift. You will work closely with engineers and partners from all parts of the company, from product to infrastructure and more. Responsibilities:Contribute to LinkedIn validation strategy. Devise and continuously improve an end to end validation strategy for all of Engineering, with the mission to prevent change based impactWork with teams in Infrastructure Eng, Product Eng, and all auxiliary engineering teams to ensure that while LinkedIn’s change velocity is high, it doesn’t impact members, customers, partners and rest of LI employeesDrive a cohesive validation and resilience platform strategy such that all of LinkedIn engineering gets the benefits without the need to explicitly onboard, or change their current way of functioning. Keep customer overload minimal.Bring a fresh perspective to the current methodologies, advocate for rethinking and challenging the methodologies, and work w/ industry peers to adapt and build a platform that brings LinkedIn high change velocity with high resilience and safety.Advise management and leaders both in the org, and in peer orgs across Engineering, to strategically achieve long term initiatives with minimal resistance, high velocity, and well reasoned solutions that are both long lasting, and resilient to long term company directional changes.Oversee current areas of resilience and validation to connect the dots between active impact (incidents) and the areas of investment where the said impact could be prevented.Represent the resilience and validation organization in technical leadership forums where this role is seen as the technical leader for all things validation and resilience.Understand stack, reason about details, and challenge the status quo. Put to use this understanding to leverage, build or buy solutions that are well integrated into the accepted methodologies, such that everything works within the system, and not a bolt on.Work with leadership and management to grow and hire talent for the mission we want to achieve, the platforms we want to build and the results we want to see.Advocate for acceleration of initiatives, find creative ways to both avoid and remove blockers to progress, and ensure broad communication in case of timeline or directional slips.Actively design, code and work with Engineering teams to leverage, build or integrate external systems to achieve the mission and strategy.Actively review architecture, design and code of Engineers in the org to help raise craft, avoid misdirection and pitfalls, and achieve strategic and tactical goals w/ high velocity. Basic Qualifications:BS/BA in Computer Science or related technical field or equivalent technical experience7+ years of industry experience in software design, development, and algorithm related solutions7+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala5+ years of experience as an architect, or technical leadership positionHands-on experience developing large-scale distributed systems Preferred Qualifications:MS or PhD degree in Computer Science or related technical discipline10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position10+ years of experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python5+ years of experience building large-scale compute infrastructure, and distributed systemsDemonstrated understanding of operating system fundamentals, container technologies, and systems knowledge.Experience working in large environments with terabytes of data.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 working with AI and Data Scientists teams. Suggested Skills:Distributed SystemsData ScienceTechnical 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 https://careers.linkedin.com/benefits. Equal Opportunity StatementLinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C\_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP\_EEO\_Supplement\_Final\_JRF\_QA\_508c.pdf for more information. 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. Pay Transparency Policy StatementAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job CandidatesThis document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice