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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, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options. This means you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or you can work remotely from most locations within the country listed for this role.

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 Sr. Staff Software Engineer on the Validation Engineering team, you will be responsible for driving the technical direction and development of cutting-edge validation tooling and 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 Infrastructure Software validation strategy.

•Involved in handling extensive datasets to create and manage state-of-the-art infrastructure software validation platforms which handles feedback solutions, supporting larger fleets and Kubernetes Clusters for their upgrades and releases.

•Lead the technical roadmap by identifying diverse validation signals for analysis.

•Guide the team in constructing models to provide recommendations for downstream systems to consume.

•Collaborate with other products and teams to launch new products, influence their roadmaps, and iterate on existing solutions to build a world-class developer experience.

•Deliver impact by driving innovation while building and shipping software at scale

•Design products/services/tools and code that can be used by others while upholding operational impact of all decisions.

•Function as the tech-lead for multiple key initiatives, identify problems and opportunities and lead teams to architect, design, implement and operationalize systems.

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

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

•5+ years of experience building large-scale compute infrastructure, and distributed systems

•Demonstrated 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 Systems

•Linux operating system

•Data Science

•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 $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 https://careers.linkedin.com/benefits.

Equal Opportunity Statement

LinkedIn 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 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 for Job Candidates

This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice