Staff Software Engineer, Compute Infra & Kubernetes

LinkedIn

Mountain View (CA)

Hybrid

USD 175,000 - 287,000

Full time

14 days+

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Benefits offered by this job

Health & wellness programs
Time off for employees
Competitive compensation

Job summary

LinkedIn is seeking a Staff Software Engineer for its Compute Infrastructure team, based in a hybrid setup. You will help design and evolve a private cloud‑style platform powering real-time services, analytics pipelines, and AI/ML at scale.

The role emphasizes Kubernetes‑centric operations, multi‑cluster management, and fleet health across a platform used by many engineering teams. You will mentor engineers, drive reliability improvements, and tackle cross‑cutting issues in OS behavior,

Qualifications

  • Experience designing distributed systems, backend services, or large-scale platforms.
  • Hands-on development with Go or Python.
  • Experience with Kubernetes or similar container orchestration platforms.

Responsibilities

  • Enable thousands of LinkedIn engineering teams to deploy and operate reliably across CI/CD, workload orchestration, and scalable GPU AI/ML infrastructure.
  • Improve platform observability, deployment safety, and release throughput.
  • Shape technical direction across teams to meet product and AI workload needs.
  • Mentor engineers to raise technical bar and foster engineering excellence.
  • Resolve deep production issues spanning Kubernetes internals and distributed systems.

Skills

Distributed Systems
Golang
Kubernetes
Technical Leadership

Education

BA/BS in Computer Science or related field

Job description

LinkedIn is seeking a Staff Software Engineer for its Compute Infrastructure team, based in a hybrid setup. You will help design and evolve a private cloud‑style platform powering real-time services, analytics pipelines, and AI/ML at scale.

The role emphasizes Kubernetes‑centric operations, multi‑cluster management, and fleet health across a platform used by many engineering teams. You will mentor engineers, drive reliability improvements, and tackle cross‑cutting issues in OS behavior,

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