GitLab
Mid
Build the backend that lets AI agents operate across GitLab's software delivery lifecycle
GitLab's new Agent Tools team is building the systems — including GitLab's MCP server — that let AI agents interact with the full software delivery lifecycle, not just code generation. This Intermediate Backend Engineer role works in Ruby on Rails across GitLab's monolith, shipping GraphQL/REST APIs at the intersection of GitLab's core platform and its AI strategy.
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What this interview tests
- Ruby on Rails backend development in a large, mature monolith
- Designing REST/GraphQL APIs for scalability and backward compatibility
- Building interfaces (e.g., MCP server) for AI agents to interact with a platform
- Automated testing discipline (RSpec) in a fast-moving feature area
- Production troubleshooting and Tier 2 on-call ownership
- Practical, daily use of AI tooling in one's own engineering workflow
Common question themes
Walk through a Rails feature you built involving background jobs or data models
How would you design an API contract meant to be called by an AI agent, not just a human client
Tell me about a production incident you triaged and root-caused
How do you use AI tools day-to-day in your own engineering work
Describe your approach to test coverage (RSpec) on a fast-iterating feature
How do you collaborate effectively async across timezones
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