GitLab
GitLab
GitLab develops an AI-powered DevSecOps platform that brings software development, security, and operations together in one environment. Its products support source code management, AI-assisted development, CI/CD automation, compliance, and vulnerability management across the software delivery lifecycle. GitLab serves organizations looking to coordinate engineering, security, and operations workflows while delivering software more efficiently. Job seekers exploring roles at GitLab may find opportunities connected to software engineering, cloud infrastructure, cybersecurity, artificial intelligence, product development, and other functions supporting its unified platform.

Senior Backend Engineer, Core DevOps – Container Registry

Lead backend architecture, reliability, and performance for GitLab’s DevSecOps Container Registry platform. Build scalable systems, guide technical direction, and apply agentic AI responsibly in production engineering.

Description

  • Build and evolve product capabilities
  • Address complex backend challenges while shaping technical and product direction
  • Deliver moderately complex to complex backend features with limited supervision
  • Choose appropriately between modular-monolith code, shared components, and independently operated services
  • Establish backend standards for code style, maintainability, testing, APIs, and operational readiness
  • Champion product quality, security, availability, and performance
  • Support the development of associate and intermediate engineers through mentorship
  • Resolve technical blockers and strengthen delivery practices through code and design reviews
  • Identify and prevent performance and reliability problems at scale
  • Contribute to incident response and take technical ownership when needed
  • Apply AI to production engineering, assess its effectiveness, and guide responsible adoption
  • Work across product, frontend, infrastructure, data, and security teams
  • Collaborate with product managers and designers to define requirements

Requirements

  • Strong expertise in backend architecture, APIs, data systems, and performance optimization within complex products or services
  • Proficiency with modern backend programming languages
  • Extensive knowledge of systems programming
  • Experience designing or evolving modular backend boundaries, bounded contexts, and architectures that support safe migration
  • Ability to lead through influence, sound technical judgment, and clear written communication
  • Demonstrated experience building or operating agentic systems in production
  • Experience designing agentic AI loops, tool integration, and error-handling approaches for reliable operation at scale
  • Willingness to incorporate AI into everyday workflows
  • Full-time availability

Benefits

  • Benefits supporting health, financial security, and overall well-being
  • Flexible paid time off
  • Team member resource groups
  • Equity compensation and employee stock purchase plan
  • Growth and development fund
  • Parental leave
  • Remote-first, asynchronous organization

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