Note: The job is a remote job and is open to candidates in USA. GitHub is a leading platform for agentic software development powered by Copilot. The Staff Software Engineer will lead the technical direction of Kubernetes-based compute platforms, designing and operating systems that improve scalability, reliability, automation, and operational clarity for GitHub production workloads.
Responsibilities
- Design, build, and operate Kubernetes-based platform systems that support GitHub production services
- Improve reliability, scalability, and operability across GitHub's Kubernetes / Hubbernetes fleet
- Lead 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 define safe migration paths, operational standards, and long-term platform direction
- 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
Skills
- 9+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
- Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 8+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
- Bachelor's Degree in Computer Science or related field AND 7+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
- Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
- Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 3+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
- Equivalent experience
- 2+ years experience with large-scale Kubernetes fleet operations, cluster lifecycle management, capacity management, or workload migration
- Experience with Azure Kubernetes Service or operating Kubernetes on Azure
- Experience with platform engineering, developer platforms, internal infrastructure products, or infrastructure-as-a-service style systems
- Experience with Kubernetes controllers, operators, CRDs, admission control, scheduling, autoscaling, service mesh, or multi-cluster networking
- Experience improving reliability through SLOs, observability, incident response, automation, and operational readiness practices
- Experience leading Staff-level technical projects with high ambiguity and broad organizational impact
Benefits
- Certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role.
- Certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.
- Remote-first work arrangement
- Competitive pay
- Generous learning and growth opportunities
- Excellent benefits to support you, wherever you are
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