Sr. Manager, Software Engineering, Compute Infrastructure

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. 

Creating economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer.

As a Sr. Software Engineering Manager of Workload Runtime within the Compute Infrastructure team at LinkedIn, you will play a crucial role in our ongoing efforts to architect our compute infrastructure. You will be responsible for building and evolving next-generation workload runtime that powers LinkedIn at global scale. Your scope will include deep integration across workload orchestration, deployment platform, autoscaling, and reliability engineering.

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.

Responsibilities:

• You will directly contribute to LinkedIn’s Workload Runtime strategy within Compute infrastructure.
• You will build and operate a platform that focuses on resource allocation, isolation and security at the host level to ensure reliable and secure execution of workloads.
• You will help up-level and coach a team of talented developers.

Basic Qualifications: 

• BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
• 5+ years of experience in software engineering/technical management and people management.
• 4+ years of industry experience in system infrastructure 
• 2+ years of experience in compute infrastructure

Preferred Qualifications: 

• 10+ years of experience managing engineering teams
• 5+ years of experience building large-scale compute infrastructure or other relevant infrastructure
• 2+ years of experience managing managers
• Experience in leading technical teams and coaching engineers
• Demonstrated understanding of operating system fundamentals, container technologies, and systems knowledge 
• Experience with Kubernetes

Suggested Skills:

• Distributed Systems
• Kubernetes
• Technical Leadership

The pay range for this role is $198,000 to $326,000. 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
• 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.

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