Backend Engineer, Source Code: Repository Services (Ruby)

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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. GitLab 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.

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About the role

As an Intermediate Backend Engineer, you will take backend features and improvements from clarifying the problem through shipping them and following up in production. You will work within a product area, partnering with Product Management, Frontend, Infrastructure, and Security to deliver predictably and contribute to the quality, security, performance, and maintainability of shared backend code and services. You will be trusted to work with minimal guidance, to know when to seek help, and to communicate clearly in a remote, asynchronous environment — with other tenured engineers alongside you to review your work, think through hard problems with you, and help you grow.

Why you’ll love this role

• 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.

What you’ll do

• 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.
• 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.
• On Call Support: Take part in on-call or operational support where your team’s ownership model requires it.

What you’ll bring

• Backend Fundamentals: Professional experience building and shipping production backend applications, with strong programming, API, database, testing, debugging, and performance fundamentals.
• Adaptability: Experience with Ruby/Rails, Go, or any other modern backend language. We value the ability to learn and adapt over mastery of a single language.
• Feature Ownership: The ability to take a feature from clarification through delivery and follow-up, working independently while seeking input at the right time.
• Practical Judgment: Sound instincts about security, reliability, performance, maintainability, and operational risk, plus an understanding of modular backend boundaries and the consequences of coupling.
• Clear Communication: Strong written communication and effective collaboration in a remote, asynchronous environment.
• AI Fluency: Practical experience with AI coding tools, including the ability to review and correct what they generate.

Helpful experience

• Production Go services, APIs, concurrency, profiling, or gRPC.
• Docker, Kubernetes, Helm, CI/CD, or cloud deployment.
• Rust, particularly for systems, security, performance, or platform work.
• PostgreSQL, schema evolution, caching, queues, messaging, or event-driven workflows.
• Observability using metrics, logs, traces, dashboards, and alerts.
• Contributing to a modular monolith, bounded context, shared component, or independently operated service.

Remote-Global

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