Backend Engineer Knowledge Graph (Rust)

An overview of this role

As an Intermediate Backend Engineer on the GitLab Knowledge Graph team you'll help build and operate a graph data service that supports GitLab Duo agents analytics and architecture-level features across GitLab.com Dedicated and Self-Managed deployments. You’ll join a small Rust-first team that values clear ownership thoughtful system design and rigorous thinking about data and reliability.

The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse NATS JetStream and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features. In this role you’ll deliver features and improvements in well-scoped areas learn the broader architecture and contribute to reliability observability and operational readiness.

In your first year you’ll take clear ownership of specific components or features (for example parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks and you’ll help the team ship analytical services that are easier to maintain and evolve over time.

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.
• Help 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.
• 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).

What you’ll bring

• Professional experience building and maintaining backend systems in production with an understanding of reliability maintainability and how to support services over time (incident responses and follow-ups etc).
• 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.
• Some exposure to distributed data or analytics systems (for example OLAP databases Kafka- or NATS-style messaging or change data capture (CDC) pipelines) or strong motivation to develop those skills in this role.
• Interest in graph data modeling and query patterns (property graphs multi-step (n-hop) traversals aggregations) and willingness to learn the tools and concepts used in Knowledge Graph over time.
• Practical experience (or strong interest) using AI tools in day-to-day development along with a thoughtful approach to validating outputs and integrating AI into your workflow.
• A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example Ruby Go or TypeScript/Vue where the work touches adjacent systems).
• Solid fundamentals in system design for your level including the ability to reason about trade-offs ask good questions and align your implementation work with documented architectural decisions.
• Comfort working in a low-process high-ownership environment where you take responsibility for your work communicate progress clearly and help refine problem statements with your teammates.
• Strong written communication and comfort collaborating asynchronously across time zones in an all-remote team.

About the team

We sit within the Data Engineering organization. We're a small group of senior engineers and we work closely with partners across AI (Duo Agent Platform) analytics infrastructure and delivery and security because our work spans many parts of the platform.

We collaborate asynchronously and optimize for strong ownership rather than a feature factory model. We each build a meaningful understanding of the system and help evolve it over time. A key challenge for us right now is scaling sustainably. That includes hardening multi-tenant behavior maturing observability and readiness and keeping the system healthy and maintainable as usage grows and team members take time off. At the same time we're bringing Knowledge Graph to general availability (GA).

What We Do

GitLab is an open core software company that develops the most comprehensive DevSecOps Platform used by more than 100000 organizations. Our mission makes it clear that we believe in a world where everyone can contribute. We make that possible at GitLab by running our operations on our product and staying aligned with our values. We strive to create a transparent environment where all team members around the world feel that their voices are heard and welcomed. We also aim to be a place where people can show up as their full selves each day and contribute their best.

Why Work With Us

We’ve got big ambitions to make GitLab the most comprehensive AI-powered DevSecOps platform and need skilled contributors to get us there. At GitLab your contributions shape the future of software development at a time when AI is changing the way software is built. Together we're building the most comprehensive AI-powered DevSecOps platform.

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