Staff Software Engineer, Cloud Foundations

GitHub is a leading platform for agentic software development powered by Copilot. The Staff Software Engineer will lead the technical direction of the Cloud Foundations platform, designing and implementing scalable cloud infrastructure, Azure paved paths, compute systems, configuration management, and fleet automation while mentoring engineers and supporting reliable operations.

Responsibilities:

• Lead technical decision making and architecture across the Cloud Foundations surface area, including compute lifecycle, configuration management, infrastructure orchestration, and fleet inventory
• Design and implement scalable, reliable and performant solutions for complex problems such as fleet-wide reboot orchestration, immutable image pipelines, multi-region state management, and service discovery at scale
• Define and build GitHub's Azure paved paths, including event-driven compute, and cloud-native patterns
• Drive the evolution of foundational systems from data center to Azure-native equivalents
• Write, review, and maintain code primarily in Go, and partner with the team on language and tooling choices for new systems
• Mentor other engineers in their technical and architectural decision making, and raise the engineering bar through code review and design feedback
• Participate in on-call rotations for the services and systems owned by the team, leading incident response on hard problems and driving the follow-up work that prevents repeat issues

Requirements:

• • 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
• • OR Associates Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 8+ years experiencein 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
• • OR Bachelors Degree in Computer Scienceor related field AND 7+ years experiencein Software Engineering, Computer Science, or related technical discipline with proven experiencemaintainingand delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
• • OR Masters 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
• • OR 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
• • OR equivalent experience
• • 4+ years building and supporting large, high traffic applications at scale within platform/infrastructure domains
• • 4+ years supporting and building cloud native workloads in Azure,AWSor Google Cloud
• • 2+years experienceoperating fleet-scale compute infrastructure such as hypervisor platforms, configuration management systems, or orchestration tooling
• • 6+years experience with Azure, or any other Cloud Provider
• • Experience designing oroperatingpaved-path platforms on Azure (Functions, App Service, AKS) or comparable offerings on AWS or GCP
• • Experience with Puppet, Chef, Ansible, or comparable configuration management systems at fleet scale
• • Experience building ormaintainingplanetary scale engineering systems
• • Experience working with a remote, distributed team