Staff Software Engineer, Compute Infrastructure & Kubernetes

LinkedIn; California (MO); Hybrid; USD 175,000 - 287,000; Full time

Benefits offered by this job

Health and wellness programs

Competitive compensation

Stock options

Job summary

LinkedIn is seeking a Staff Software Engineer to scale its Compute Infrastructure, building real-time services, data pipelines, and AI/ML infrastructure for a billion+ member platform.

You will design and implement scalable solutions, collaborate with cross-functional teams, and drive platform reliability with a Kubernetes-centric private cloud at scale. Hybrid work model with opportunities to lead high-impact engineering initiatives.

Qualifications

• BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience.
• 4+ years of industry experience in software design, development, and algorithm-related solutions.
• 4+ years of experience programming in languages such as Go or Python.
• Hands-on experience developing distributed systems, large-scale platforms, or backend services.
• Experience with Kubernetes or similar container orchestration platforms.

Responsibilities

• Enable thousands of LinkedIn engineering teams to deploy and operate reliably across CI/CD pipelines and scalable workload platforms.
• Improve platform observability, deployment safety, and release throughput.
• Shape technical direction across team boundaries to stay ahead of demand from new products and AI workloads.
• Mentor engineers, raise the technical bar, and foster a culture of engineering excellence.
• Resolve deep production issues spanning Kubernetes internals, OS behavior, and distributed systems.

Skills

Distributed Systems

Golang

Kubernetes

Technical Leadership

Education

BA/BS Degree in Computer Science or related technical discipline

Tools

Kubernetes

Job description

LinkedIn is seeking a Staff Software Engineer to scale its Compute Infrastructure, building real-time services, data pipelines, and AI/ML infrastructure for a billion+ member platform.

You will design and implement scalable solutions, collaborate with cross-functional teams, and drive platform reliability with a Kubernetes-centric private cloud at scale. Hybrid work model with opportunities to lead high-impact engineering initiatives.