The opportunity
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation.
What you'll do
Ownership: You'll take features from requirements through delivery and: follow-up; your code will run on a platform used by millions of users.
Learning and Growth: You’ll work alongside your engineering team, who treat code review and design review as a learning loop rather than a gate — one of the fastest ways to grow your engineering judgment.
Innovative Culture: You’ll use AI as a genuine part of daily engineering work, developing the judgment to know when to trust it and when not to.
Autonomy: You’ll thrive in our remote-first, asynchronous organization, where: clear written communication and self-direction are the pillars of success.
User-Centric Collaboration: You’ll partner closely with PMs and designers to shape requirements, so you understand why you’re building something, not just what.
Own and Ship Features: Design, implement, test, and ship backend features and improvements with minimal guidance, working in Ruby/Rails, Go, or any other modern languages.
What they're looking for
- Build for Production: Write maintainable, secure, observable, and performant code. Design and maintain APIs, background jobs, integrations, and bounded service functionality, and work with data models, migrations, indexes, and query behavior.
- Test and Review: Add and improve automated coverage — unit, integration, contract, and end-to-end where appropriate — and review others’ code for correctness, maintainability, security, performance, and operational risk.
- Operate What You Build: Investigate build, test, deployment, and runtime failures at the feature boundary, identify technical debt and propose practical improvements, and take part in on-call or operational support where your team’s ownership model requires it.
- Leverage AI: Use AI productively in daily work, validate what it produces,: and understand where its limitations matter.
