Software Engineer Director, Compute Infrastructure

This role will be based in Sunnyvale, 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 Software Engineering Director of the Compute Infrastructure team at LinkedIn, you will play a crucial role in our ongoing efforts to architect our compute infrastructure. 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 delivering large-scale compute infrastructure..

In this role, you will lead a team that designs and implements solutions that enable LinkedIn to scale its compute infrastructure to meet the demands of a rapidly growing user base. 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. Apply now to join our team and help shape the future of LinkedIn.

 

Responsibilities:

• You will directly contribute to LinkedIn’s Compute infrastructure strategy.

• You will build and operate a platform that allocates hardware resources with necessary physical/logical distribution for fault tolerance and easy maintenance.

• You will help up-level and coach a large team of talented developers.

 

 

Basic Qualifications: 

• 5+ years of software engineering management experience

• 4+ years experience in one of the following areas: data infrastructure, search infrastructure, or ML platforms

• 2+ years of experience in compute infrastructure

• B.A./B.S. degree or higher, or equivalent experience
  
   

Preferred Qualifications: 

• 10+ years of experience in managing engineering teams.

• 5+ years of experience building large-scale compute infrastructure or other relevant infrastructure 

• Experience in leading technical teams and coaching engineers and engineering managers

• Demonstrated understanding of operating system fundamentals, container technologies, and systems knowledge. 

• Experience with Kubernetes.

• Experience with IaaS systems and capacity management.

 

Suggested Skills:

• Distributed Systems

• Kubernetes

• 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 $226,000 to $369,000. 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 

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.

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• Documents in alternate formats or read aloud to you
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• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

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