Senior Backend Engineer; Ruby on Rails), Plan: Remote, Americas; Remote, APAC; Remote

Senior Backend Engineer (Ruby on Rails), Plan:
Knowledge

Git Lab is the intelligent orchestration platform for Dev Sec Ops . Git Lab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100
* trust Git Lab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. Git Lab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.

Co-create the future with us as we build technology that transforms how the world develops software.

* Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on Git Lab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of Git Lab.

As a Senior Backend Engineer (Ruby on Rails) on the Plan:
Knowledge group, you'll help shape how teams plan, document, and share knowledge in Git Lab. You'll build and improve the backend systems behind Wiki, Pages, Markdown, and text editors, while also helping design AI-powered capabilities such as the planner agent and Model Context Protocol (MCP) integrations that connect Git Lab's Graph

QL APIs with external tools. In this role, you'll work closely with frontend engineers, Product, UX, and Security to create reliable, scalable systems that support both technical and non-technical users across Git Lab's planning experience. As part of Git Lab's AI-first culture, you'll also use the Duo Agent Platform in your daily workflow to improve productivity and support faster iteration.

Some examples of our projects:

• Building AI agents such as the planner agent to support planning and knowledge management workflows
• Architecting MCP integrations that expose Git Lab Graph
  
  QL APIs to external AI tools and platforms

• Lead backend architecture for Wiki, Pages, Markdown, and text editor capabilities used across Git Lab.
• Design and build AI agents that support planning and knowledge management workflows.
• Architect MCP integrations that connect Git Lab Graph
  
  QL APIs with external AI platforms and tools.
• Drive improvements in reliability and performance across application code, Postgre
  
  SQL queries, Redis usage, and background jobs.
• Develop and evolve Graph
  
  QL APIs that are clear for frontend engineers and support scalable product experiences.
• Collaborate with frontend engineers, Product, UX, and Security to break down complex work into shippable iterations.
• Mentor engineers through code review, technical discussions, and shared backend best practices.
• Support incident response and production debugging, then turn learnings into lasting system improvements.

• Strong experience building and maintaining backend applications with Ruby on Rails
  , including core components such as Active Record and Redis.
• Experience designing and supporting GraphQL APIs with attention to usability, maintainability, and performance.
• Knowledge of PostgreSQL query design, optimization, and scaling in high-traffic production systems.
• Experience building or integrating AI agents
  , intelligent workflows, or related platform capabilities.
• Familiarity with Model Context Protocol (MCP) or similar patterns for connecting APIs to external tools and platforms.
• Ability to investigate production issues, debug complex systems, and improve reliability over time.
• Experience leading technical decisions, mentoring engineers, and contributing to engineering standards across a team.
• Clear communication and cross-functional…