--- title: 'Backend Engineer, Knowledge Graph (Rust) at GitLab' canonical: 'https://feeny.ai/job/backend-engineer-knowledge-graph-rust-gitlab-canada-united-states-2hcyyt67zxyy' type: 'job' last_seen: '2026-10-28' --- # Backend Engineer, Knowledge Graph (Rust) at GitLab - **Company:** GitLab - **Location:** Canada / United States - **Compensation:** $115k–$162k - **Work type:** remote - **Posted:** 2026-10-23 - **Last confirmed live:** 2026-10-28 - **Apply:** https://job-boards.greenhouse.io/gitlab/jobs/8771512002 ## Job description 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. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab 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. 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](https://www.youtube.com/watch?v=OuZIb5zszQI) 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 GitLab 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 GitLab. As an Intermediate Backend Engineer on the GitLab Orbit 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 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. - 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 (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 GitLab 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 the United 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 [benefits](https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/) and [equity](https://about.gitlab.com/handbook/stock-options/). Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200—$162,000 USD How GitLab Supports Full-Time Employees - [Benefits to support your health, finances, and well-being](https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/) - [Flexible Paid Time Off](https://handbook.gitlab.com/handbook/people-group/time-off-and-absence/time-off-types/#flexible-paid-time-off-pto) - [Team Member Resource Groups](https://handbook.gitlab.com/handbook/company/culture/inclusion/tmrg-tmag/) - [Equity Compensation & Employee Stock Purchase Plan](https://handbook.gitlab.com/handbook/total-rewards/stock-options/) - [Growth and Development Fund](https://handbook.gitlab.com/handbook/people-group/learning-and-development/growth-and-development/) - [Parental Leave](https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/#parental-leave) Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from [underrepresented groups](https://about.gitlab.com/company/culture/inclusion/#examples-of-select-underrepresented-groups) are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our [Recruitment Privacy Policy.](https://handbook.gitlab.com/handbook/hiring/candidate-faq/recruitment-privacy-policy/) Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also [GitLab’s EEO Policy](https://about.gitlab.com/handbook/people-policies/inc-usa/#equal-employment-opportunity-policy) and [EEO is the Law](https://about.gitlab.com/handbook/labor-and-employment-notices/#eeoc-us-equal-employment-opportunity-commission-notices). If you have a disability or special need that requires [accommodation](https://about.gitlab.com/handbook/people-policies/inc-usa/#reasonable-accommodation), please let us know during the [recruiting process](https://about.gitlab.com/handbook/hiring/interviewing/#adjustments-to-our-interview-process). ## About GitLab ## Company Overview - **One-liner**: GitLab provides an intelligent orchestration platform for DevSecOps, enabling teams and AI agents to plan, build, secure, and deploy software faster. - **Entity Type**: Public (NASDAQ: GTLB) - **Headquarters**: San Francisco, CA, USA - **Founded**: 2011 - **Founders**: Not explicitly listed in provided materials ## Core Business - Primary industry: DevSecOps, Software Development Lifecycle Platform - Target customers: Enterprise, SMB, B2B – used by over 100,000 organizations including large enterprises - Mission / Purpose: "Unlock every team to ship trusted software at the speed of imagination" ## Products & Services - **[GitLab Platform](https://about.gitlab.com/company/)**: Integrated DevSecOps/DevOps platform (SaaS and self-managed) covering source code management, CI/CD, security scanning, monitoring, and AI-powered features (e.g., Duo Agent). - **GitLab Duo**: AI-powered suite of tools for code generation, review, and automation across the software lifecycle. ## Market Standing - **Valuation / Market Cap**: Not disclosed in provided materials (public company – refer to NASDAQ: GTLB) - **Key Metrics**: Over 50 million registered users, 2,500+ team members, 5,500+ code contributors, 2,500+ consecutive monthly releases (as of June 2026) - **Notable Investors / Partners**: Public company; prior investors include Y Combinator (2015 cohort). Detailed list not provided. - **Growth Signals**: 100,000+ organizations use GitLab; continuous monthly releases since 2011; expanding AI capabilities (Duo Agent); certification as Great Place to Work (US & India, 2026–2027) ## Competitive Advantages - **All-in-one DevSecOps platform** that replaces multiple point tools, reducing complexity and toolchain friction. - **Strong open-source heritage** and community-driven innovation (5,500+ contributors). - **AI-first approach** with built-in agents for code generation, review, and security. - **Culture of transparency** – handbook-first, public-by-default documentation that scales remote work. ## Strategic Focus - **AI-powered software creation**: Deep integration of AI agents (Duo Agent) to accelerate development while maintaining security and compliance. - **Enterprise adoption**: Scaling to meet the needs of large, regulated organizations with compliance and security features. - **Remote-first operations**: Continuing to build and improve asynchronous, all-remote work culture as a competitive advantage. ## Why Work Here - **Fully remote**: 100% remote company from the start – work from anywhere; asynchronous and flexible schedules. - **Awards & recognition**: Great Place to Work Certified (US & India 2026–2027); BuiltIn Best Remote Places to Work 2026; Fortune Best Workplaces in Technology 2025. - **Benefits**: Equity compensation, Employee Stock Purchase Plan, generous paid time off, annual growth & development benefit, access to LinkedIn Learning and leadership programs. - **Inclusive culture**: Multiple Team Member Resource Groups, strong Diversity, Inclusion & Belonging (DIB) commitment. - **Learning & development**: Industry-leading leadership programs and platforms like LinkedIn Learning and Level Up. ## Sources 1. [about.gitlab.com](https://about.gitlab.com/jobs/) 2. [about.gitlab.com/company](https://about.gitlab.com/company/) 3. [handbook.gitlab.com](https://handbook.gitlab.com/handbook/people-group/employment-branding/content-library/) 4. [job-boards.greenhouse.io](https://job-boards.greenhouse.io/gitlab/jobs/8481958002) 5. 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