Senior Software Engineer, Compute Platform

GitHub is changing the way the world builds software, and we want you to help build this effort.

The Compute Platform team owns and operates the Kubernetes-based platforms that run GitHub's production workloads. We are responsible for Hubbernetes, GitHub's internal Kubernetes platform, and for the platform engineering work needed as GitHub moves more production infrastructure to Azure Kubernetes Service. Our work spans cluster lifecycle, fleet reliability, capacity, workload guardrails, developer experience, and the operational foundations that service teams build on every day.

As a Senior Software Engineer on Compute Platform, you will work with a distributed team to contribute to the technical direction of a Kubernetes platform that hundreds of internal teams depend on. You will design and implement systems that make GitHub's compute substrate easier to scale, safer to operate, and harder to misuse, with a focus on reliability, automation, operational clarity, and reducing toil.

The Compute Platform team is highly distributed, and you will thrive in an environment of remote work and asynchronous communication. You should have strong written communication skills, strong software engineering fundamentals, and several years of hands-on experience building or operating Kubernetes and cloud-native platform systems in production. Azure and AKS experience are strong pluses.

• Design, build, and operate Kubernetes-based platform systems that support GitHub production services.

• Improve reliability, scalability, and operability across GitHub's Kubernetes / Hubbernetes fleet.

• Drive significant technical work across ambiguous, cross-team platform problems, including AKS migration, fleet management, control-plane reliability, and capacity management.

• Partner with service owners, infrastructure teams, and engineering leaders to shape safe migration paths, operational standards, and platform improvements.

• Debug and resolve complex production issues across Kubernetes, cloud infrastructure, Linux, containers, networking, observability, and distributed systems.

• Build automation and guardrails that improve workload quality, capacity efficiency, cluster lifecycle operations, and incident response.

• Mentor engineers and raise the engineering bar through design review, code review, technical direction, and operational judgment.

• Write, review, test, and maintain reliable platform software and automation. Go experience is helpful, but strong production software engineering fundamentals matter more than any single language.

• Participate in on-call and incident response for the systems owned by the team, including driving follow-up work that prevents repeat issues.