Greenhouse ·
full-timeStaff Fullstack Engineer, Data Products (golang / Node)
Gitlab · Remote, Canada; Remote, United States
GitLab provides an intelligent orchestration platform for DevSecOps, helping organizations boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. The Staff Fullstack Engineer, Data Products role focuses on building the pipelines, dashboards, APIs, and data products that turn GitLab and third‑party SDLC data into trusted, interoperable intelligence for customers and internal teams. As a foundational member of a 0‑to‑1 team, you will define how data is ingested, modeled, and synchronized into a near‑real‑time knowledge graph of the development ecosystem, lead integrations with tools such as Jira, observability platforms, Zendesk and ServiceNow, and architect a Data Marketplace that lets customers consume GitLab data via Snowflake, Databricks or BigQuery without engineering dependencies. You will also publish observability data as OpenTelemetry, broker data‑sharing APIs, and ensure operational readiness across GitLab.com, Dedicated and Self‑Managed deployments. The position calls for deep full‑stack expertise in Go, Ruby and Node, experience with analytics and metrics platforms, graph data systems, CDC, warehouse integration, AI‑powered tool orchestration, and multi‑tenant SaaS and self‑managed environments, plus the ability to influence across teams, resolve dependencies, and mentor senior engineers.
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 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. An overview of this role Data Products integrates GitLab and third-party SDLC data, and builds the dashboards, APIs, and data products that turn it into trusted, interoperable intelligence for customers and internal teams. This is a 0 to 1 team and we are hiring for a foundational engineering role. That means you bring technical leadership through ambiguity, helping figure out what to build, making the foundational design decisions, and keeping delivery moving while the picture is still forming. You own the full lifecycle of what ships and stand behind it. What you'll bring Proven ability to influence as a Staff owning product or platform systems end to end across multiple engineering and product teams. High agency, i.e finds the owner, clarifies the path, makes the call, and keeps pushing until the work lands. Force multiplier and raise the people and the codebase around them Deep full-stack expertise, including strong proficiency in Go, Ruby and Node . Depth in at least one of analytics and metrics platforms, graph data systems, CDC and warehouse integration. Hands-on experience building production AI-powered tool orchestration. Experience operating multi-tenant systems across SaaS and self-managed deployment. Direct communicator who builds alignment across teams. Bias to write things down and make reasoning legible. What you'll own Architect how GitLab and third-party data is ingested, modeled, and synced into the knowledge graph as a near-real-time graph of the development ecosystem. Lead integration with external systems for business context (Jira, observability tools, Zendesk, ServiceNow), indexed into the graph. Architect the Data Marketplace so customers consume GitLab data through Snowflake, Databricks, and BigQuery with no engineering dependencies. Publish GitLab observability as OpenTelemetry and broker the data-sharing APIs. Define operational readiness for everything the team ships across GitLab.com, Dedicated, and Self-Managed. Translate an ambiguous 0 to 1 problem space into concrete, iterable roadmaps in partnership with Product, Design, and the graph backend team. Resolve cross-team dependencies across graph backend, AI Platform, and Infrastructure without escalating everything upward. Mentor senior and intermediate engineers through design reviews, pairing, and code review. Create organizational leverage through speed. You identify systemic bottlenecks, simplify processes, and design systems that dramatically improve execution velocity. About the team Data Products work across three surfaces: Dashboard and Reporting Framework Builds AI-native dashboard components so customers and internal teams can see engineering health and GitLab's impact across DORA, VSA, AI Impact, SDLC trends, security, and quality, and launch their own custom dashboards on the same framework. Internal Ingestion Ingests third-party data into the GitLab and power tools like Knowledge Graph, building connectors so that signals from systems like Jira, Zendesk, ServiceNow, and observability tools become one queryable, near-real-time graph of the developer ecosystem. External Ingestion External makes GitLab and Knowledge Graph data consumable outside the product, through marketplace listings, data-sharing APIs and SDKs, and co-branded partner products. We are a new team in a highly ambiguous, high-impact space, and we need engineers who can create clarity while building, make practical tradeoffs, unblock cross-team dependencies, and keep pushing until meaningful customer value lands. The base salary range for this role’s listed level is currently for residents of the United States only. This
| Role | Staff Fullstack Engineer, Data Products (golang / Node) |
|---|---|
| Company | Gitlab |
| Location | Remote, Canada; Remote, United States |
| Type | internship |
| Compensation | Not disclosed |
| Posted | 2026-10-02 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Staff Fullstack Engineer, Data Products (golang / Node) at Gitlab: frequently asked questions
- What is the salary for this role?
- Gitlab has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Staff Fullstack Engineer, Data Products (golang / Node) position remote, hybrid or onsite?
- The listing marks this role as remote, with Remote, Canada; Remote, United States as the location.
- What is the application deadline?
- Gitlab has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Staff Fullstack Engineer, Data Products (golang / Node) role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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