Staff Backend Engineer (go), Continuous Delivery

GitLab GitLab · Enterprise · India · Remote · DevOps Engineering

Staff Backend Engineer for GitLab's Continuous Delivery team, focusing on a greenfield initiative at the intersection of the core platform and AI strategy. The role involves technical leadership, system design, and execution for building AI-native governance and orchestration systems within the Deploy stage. The engineer will also mentor other engineers and participate in cross-functional discussions.

What you'd actually do

  1. Lead technical execution on the CD platform: decompose complex architectural designs into well-scoped, deliverable work and drive the team to ship with quality and confidence.
  2. Solve high-complexity engineering problems and contribute architectural feedback that shapes how the system evolves.
  3. Set and maintain the technical bar across the codebase through code review, mentorship, and example.
  4. Mentor engineers at all levels, helping them grow their technical capabilities and navigate difficult problems.
  5. Represent the CD team in cross-functional engineering discussions and contribute to written technical proposals and architectural documents.

Skills

Required

  • Deep professional experience building backend services in Go, with a track record in high-scale production environments.
  • Demonstrated expertise in distributed systems design, including durable workflow execution, state persistence, and event-driven architectures.
  • Extensive experience leading or contributing to release orchestration, deployment automation, or continuous delivery systems at scale.
  • Extensive hands-on experience with Docker and Kubernetes at production scale, including progressive delivery patterns such as blue/green and canary deployments.
  • Strong familiarity with GitOps workflows and tools in that ecosystem.
  • Experience with policy-based governance in software delivery systems.
  • Proven ability to translate complex architecture into clear, executable engineering work across a team.
  • Demonstrated ability to incorporate AI tools into daily engineering workflows to drive efficiency and quality.
  • Exceptional written and verbal communication skills, with a bias toward async, documentation-first practices.
  • Self-motivated and self-managing, with strong organizational judgment and a constructive approach to ambiguity.

Nice to have

  • Experience with AI engineering or building AI-integrated product features.
  • Ruby on Rails experience.

What the JD emphasized

  • AI strategy
  • AI-native governance
  • AI tools into daily engineering workflows