Staff Backend Engineer, SSCS: AI Governance

About the role:

• Define and drive backend architecture for AI governance systems, including auditability, policy enforcement, and enterprise reporting capabilities.
• Design the AI audit event system, including event schema, pipelines, storage patterns, retention considerations, and export surfaces.
• 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.

What you’ll bring:

• Strong experience designing and operating backend systems at scale, especially in domains that require auditability, governance, or compliance.
• Deep knowledge of authorization and access control patterns, such as role-based access control (RBAC), attribute-based access control (ABAC), and policy-as-code approaches.
• Proven experience guiding large, cross-team technical efforts in an async, RFC-driven engineering environment.

About the team:

• You'll join the AI Governance team within GitLab's Secure, Scale, and Compliance area, focusing on AI usage visibility and governance inside GitLab.
• Work with an distributed group of engineers and collaborate with AI and Continuous Delivery teams as governance capabilities are integrated more deeply into the platform.
• It's an interesting team for engineers who want to work on emerging product challenges at the intersection of AI, compliance, and large-scale enterprise software.