Intermediate Backend Engineer, Sscs: AI Governance

GitLab GitLab · Enterprise · India · Sec Engineering

Intermediate Backend Engineer on the AI Governance team at GitLab, responsible for building a paid product for regulated enterprise organizations to audit, govern, and demonstrate compliance for AI agent usage within GitLab. The role involves implementing backend features for visibility and governance controls, working with Ruby on Rails and PostgreSQL, and collaborating with cross-functional teams in an all-remote environment.

What you'd actually do

  1. Implement well-scoped backend features across the AI Governance product area, including event normalization utilities, storage layer enhancements, API endpoint additions, export support, and registry integrations, delivering production-ready work that ships on schedule.
  2. Build and maintain automated test coverage for your work using RSpec or equivalent tools to improve reliability and support safe, consistent releases.
  3. Grow your knowledge of AI governance, agent-related product architecture, and integration patterns through hands-on delivery and teamwork so you can contribute more effectively as the roadmap evolves.
  4. Work closely with senior and staff engineers to deliver solutions that are reliable, maintainable, and aligned with the product direction and release goals.
  5. Work asynchronously with cross-functional partners and nearby engineering teams working on related governance and AI capabilities to help maintain smooth delivery across teams.

Skills

Required

  • backend development experience building and shipping production features
  • Ruby on Rails
  • PostgreSQL
  • automated test coverage with RSpec or an equivalent testing framework
  • communicating clearly in writing with teammates in an async environment
  • drive scoped work through completion and follow through on commitments

Nice to have

  • GraphQL APIs
  • event-driven architecture patterns
  • Python
  • data-focused databases such as ClickHouse
  • audit event systems
  • telemetry pipelines
  • compliance-focused tooling

What the JD emphasized

  • AI Governance
  • AI agent usage
  • compliance

Other signals

  • AI governance
  • audit AI agent usage
  • compliance for AI agent usage
  • visibility into AI agent usage
  • governance controls for AI