Sr. Manager, Software Engineering, Compute Infrastructure

LinkedIn • Mountain View, CA

22h • $198,000 - $326,000 • Hybrid

About The Position

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.

Requirements

• 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

Nice To Haves

• 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
• Distributed Systems
• Kubernetes
• Technical Leadership

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager