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
Implement and iterate on backend features in the Rust-based Knowledge Graph: service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers.
Maintain integrations between Knowledge Graph and the rest of the GitLab: platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform.
Contribute to system design discussions by proposing options, raising: questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads.
Improve the operational maturity of the service by adding or enhancing: metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience.
Collaborate asynchronously with product, data, infrastructure, security, and: AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team.
Use AI-assisted development workflows responsibly (for example, using: Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness.
What they're looking for
- Participate in code reviews, knowledge-sharing sessions, and pairing to both: learn from others and help maintain consistent standards across the codebase.
- Contribute across the stack when needed, including occasional Ruby work for: Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing).
- Professional experience building and maintaining backend systems in: production, with an understanding of reliability, maintainability, and how to support services over time (for example, incident response and follow-ups).
- Proficiency in at least one modern backend language and strong interest in: Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase.