About this opportunity
LinkedIn lists this Principal Staff Software Engineer - Compute Infrastructure opportunity in california, Missouri. Review the employer’s description below for duties, qualifications and application requirements.
Job 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.
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. 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.
As a Principal Staff Software Engineer of the Compute Infrastructure team at LinkedIn, you will play a crucial role in our ongoing efforts to re-architect our compute infrastructure stack. This is a high-profile, high-impact project that touches every aspect of our engineering organization. We are looking for professionals who have a proven track record of designing large-scale compute infrastructure and driving consensus.
In this role, you will design and implement solutions that enable LinkedIn to scale its compute infrastructure to meet the demands of a rapidly growing user base. This will involve working closely with a team of engineers to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment.
If you are passionate about building the underlying technology that powers one of the world's most-used internet applications, and have the skills and experience to help us take our compute infrastructure to the next level, we want to hear from you.
Responsibilities
Define the multi-year technical vision for LinkedIn's compute platform, translating company-level priorities into an infrastructure architecture and roadmap.
You will build and operate world class high performance scheduling/deployment solutions including some of the world's largest Kubernetes clusters to place stateless/stateful services, ML workloads and short running jobs efficiently.
You will build and operate a platform that allocates hardware resources with necessary physical/logical distribution for fault tolerance and easy maintenance.
Build alignment across the engineering organization on infrastructure direction, partnering with distinguished engineers, fellows, and senior leadership
Elevate engineering quality org-wide by coaching senior engineers, setting technical standards, and shaping how infrastructure decisions are made at LinkedIn
Basic Qualifications
BS/BA in Computer Science or related technical field or equivalent technical experience
10+ years of industry experience in software design, development, and algorithm related solutions
10+ years of experience programming in object-oriented languages such as Java, Go, C/C++, Rust, Rust, Python
Experience developing large-scale distributed systems
4+ years of experience as an architect, or technical leadership position
Experience developing large-scale distributed systems and using agentic software engineering
Preferred Qualifications
15+ years of experience in software design, development, and algorithm related solutions
15+ years of programming experience in an object-oriented programming language such as Go, Java, C/C++, Rust
5+ years of experience in a technical leadership position
5+ years of experience building large-scale compute infrastructure, and distributed systems
Demonstrated understanding of operating system fundamentals, container technologies, and systems knowledge.
Experience building and operating cluster management solutions such as Kubernetes.
Experience with IaaS systems and capacity management.
Experience with networking and security principles.
Experience in leading technical teams and mentoring other engineers
Suggested Skills
Distributed Systems
Kubernetes
Golang
Technical Leadership
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $231,000 to $378,000. 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
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.
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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.
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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
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Worksite address
california, MO, 65018, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.