Backend Engineer, Knowledge Graph (Rust)

Gitlab; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Orbit, GitLab's Rust-first backend team for the Knowledge Graph service, is seeking an Intermediate Backend Engineer to build and operate analytics-driven graph capabilities across SDLC data. You will contribute to the query engine, data indexing, and API endpoints with a focus on reliability and scalability.

Join a cross-functional, all-remote team that collaborates with AI, security, data, and infrastructure peers to deliver robust features and maintainable systems.

Qualifications

• Proficient in backend development with reliability and maintainability in production.
• Interest in Rust and ability to ramp quickly in a Rust-first codebase.
• Exposure to distributed data or analytics systems is a plus.
• Interest in graph data modeling and knowledge graph concepts.

Responsibilities

• Implement and iterate on backend features in the Knowledge Graph service, including query engine and API endpoints.
• Maintain integrations between Knowledge Graph and the broader platform (Rails, Data Insights Platform, and Duo Agent Platform).
• Contribute to system design discussions focused on reliability, scalability, and maintainability of analytical workloads.
• Improve operability with metrics, logging, runbooks, alerts, and participate in on-call rotations as appropriate.
• Collaborate across product, data, infrastructure, security, and AI teams to ship safe, scalable features.

Skills

Rust

Backend design

Distributed data

Graph data

AI in development

Code reviews

Tools

ClickHouse

NATS JetStream

Data Insights Platform

Rails

Job description

the company is the intelligent orchestration platform for DevSecOps. the company enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust the company to ship better, more secure software faster.

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. the company is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our valuesand 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.

Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on the company data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of the company.

As an Intermediate Backend Engineer on the the company Orbit team, you'll help build and operate a graph data service that supports the company Duo agents, analytics, and architecture-level features across the company.com, Dedicated, and Self-Managed deployments. You'll join a 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 the company'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.

• Maintain integrations between Knowledge Graph and the rest of the the company platform, working in areas that touch the company Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and the company 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 (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.

• 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, refine problem statements with teammates, and communicate progress clearly in writing across time zones in an all-remote team.

About the team

the company Orbit sits within the Data Engineering organization. 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 rather than following a feature factory model. A key challenge for us right now is scaling sustainably as usage grows and team members take time off. That includes hardening multi-tenant behavior. At the same time, we're bringing Knowledge Graph to

*The base salary range for this role's listed level is currently for residents of theUnited States only. This range is intended to reflect the role's base salary rate in locations throughout the US.Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data,and geographic location.The base salary range does not include any bonuses, equity, or benefits. See more information on our *