Role overview

Senior Backend Engineer (Ruby), AI Engineering: Duo Agent Platform Tools

Requirements and responsibilities

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What you'll do

  • Develop, ship, and maintain features and improvements for Agentic Tools across the GitLab monolith backend in a secure, well-tested, and performant way.
  • Collaborate with Product Management, UX, frontend, backend, and AI specialists to refine requirements and deliver high-quality, iterative product enhancements.
  • Design, implement, and review GraphQL, REST APIs and related backend logic, ensuring reliability, scalability, and clear contracts with frontend clients.
  • Improve and extend automated testing, including RSpec and other frameworks, to strengthen quality, reliability, and developer feedback loops.
  • Share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across the team.
  • Participate in Tier 2 on-call rotations to troubleshoot production issues, contribute to root cause analysis, and enhance observability and resiliency
  • Bring a sharp eye to the competitive landscape, helping us understand what it takes to keep GitLab’s MCP server best-in-class in an increasingly agentic world.

What you'll bring

  • Experience building and maintaining production applications with Ruby on Rails, including work with background jobs, APIs, and data models.
  • Comfortable working across the stack in a mature codebase. Familiarity with Python backends and/or Vue frontends a plus.
  • Proficiency in designing or extending REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility.
  • Practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large language model limitations and responsible use in production.
  • Strong SQL skills and familiarity with relational databases such as PostgreSQL, including writing efficient queries and understanding data modeling.
  • Ability to identify and address performance bottlenecks at the application and, where relevant, infrastructure layers.
  • Openness to learning, collaborating in an async-first, distributed team, and applying transferable skills from related technologies or domains.

How GitLab Supports Full-Time Employees

  • Benefits to support your health, finances, and well-being
  • Flexible Paid Time Off
  • Team Member Resource Groups
  • Equity Compensation & Employee Stock Purchase Plan
  • Growth and Development Fund
  • Parental Leave
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FocusAI EngineeringRole area
Seniority signalSeniorCandidate level
StackGraphQL, PostgreSQL, PythonPrimary skills
Location59 accepted countriesEligibility

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