Staff Backend Engineer, SSCS: AI Governance

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Backend Engineer - AI Governance at GitLab, you'll help define the technical foundation for how GitLab Duo agents are governed at enterprise scale. This role sits where AI systems, compliance, auditability, and backend architecture meet. You'll shape core systems that give customers clear visibility into AI agent activity and the controls they need to manage usage with clarity. You'll work on backend architecture that enables auditable AI actions, policy-based governance, and enterprise reporting across the GitLab platform. This includes designing systems for AI audit events, policy enforcement, tool governance, and integrations that help organizations analyze and control how AI agents interact with code, pipelines, secrets, and other sensitive resources. This is a high-impact role for someone ready to set technical direction early, write and review strong design proposals, and influence multiple teams. You'll partner closely with engineering teams working on GitLab Duo and adjacent platform areas to make sure governance capabilities are built into the product in a scalable and consistent way. Your work will help customers in regulated and security-conscious environments adopt AI features with greater trust and operational clarity. What you’ll do Define and drive backend architecture for AI governance systems, including auditability, policy enforcement, and enterprise reporting capabilities, to improve governance coverage and enable reliable enterprise adoption. Design the AI audit event system, including event schema, pipelines, storage patterns, retention considerations, and export surfaces, to deliver reliable audit visibility and support customer reporting and compliance requirements. Build and guide the integration layer between the Duo Agent Platform and governance capabilities so agent actions can be observed and controlled at the right points in execution, reducing governance gaps across agent workflows. Guide technical design for tool and registry governance, including metadata models, permissions, and controls for managed tool usage, enabling safer, more consistent, and more governable tool access. Define backend foundations for a declarative policy framework that governs which agents and tools can be used under specific conditions, helping customers enforce governance requirements consistently across environments. Drive architectural consistency and implementation quality across teams by reviewing significant merge requests and contributing to technical RFCs, thus mitigating design drift as the product evolves. Strengthen team effectiveness and tech