Principal Software Engineer, Identity & AI Governance

GitHub is the world’s leading platform for agentic software development, and they are seeking a Principal Software Engineer to shape the future of identity and enterprise AI governance across its platform. In this role, you will lead the architecture of identity and governance services, ensuring secure interactions and supporting trust, authorization, and policy enforcement at a global scale.

Responsibilities:

• Lead and influence design discussions for the overall system architecture of complex products and solutions, ensuring they meet security and compliance requirements
• Establish and mentor others in best practices for testing and assuring the quality of solutions, defining success metrics, and producing maintainable code integrated with downstream dependencies
• Provide technical leadership during code reviews to ensure solutions meet quality standards, are reliable, and are appropriate for the scale of the product feature
• Partner with stakeholders such as project managers and technical leads to determine requirements for services or complex scenarios, leveraging feedback channels to incorporate insights into future designs
• Act as an expert on debugging tools and methods, leading proactive and reactive code development to verify assumptions and resolve issues across products and teams
• Optimize deployments across products to meet business objectives, ensuring solutions are deployed safely and adhere to GitHub's deployment standards
• Lead efforts to improve development quality and team performance by driving the execution of strategies for developer tooling and automation, sharing best practices, and mentoring others in new tools and strategies
• Lead the refinement of products through complex data analytics, making informed decisions to enhance engineering products and integrate data-driven insights into the development process
• Develop and implement strategies for identifying and mitigating technical risks across projects and products. This includes establishing frameworks for assessing potential risks and creating contingency plans to address them proactively

Requirements:

• 11+ 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 Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 10+ 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 Bachelor's Degree in Computer Science or related field AND 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 Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, 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
• OR PhD 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 equivalent experience
• Experience building or operating enterprise AI governance platforms, including policy systems, compliance frameworks, and control planes
• Experience designing and implementing identity systems such as authentication services, authorization frameworks, and identity federation
• Familiarity with identity protocols such as OAuth, OIDC, SAML, and SCIM
• Experience with agentic or AI-driven architectures, including systems involving models, agents, or AI APIs
• Strong understanding of enterprise security, compliance, and risk management requirements
• Experience operating cloud-native systems in environments such as Azure, Kubernetes, or AKS