About the role
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. Staff Fullstack Engineer - Data Products An overview of this role As a Staff Fullstack Engineer - Data Products , you will help build GitLab's in-product insights on top of the Data Insights Platform and the GitLab Knowledge Graph. You will be the technical anchor across reporting dashboards, inbound graph ingestion, and outbound data delivery, helping turn software delivery data into reliable and actionable intelligence for customers and internal teams. This is a strong fit if you want to work in a 0 to 1 space where you can shape what gets built, make early architectural choices, and guide work from specification through production health. In this role, you will provide technical guidance across your domain, partner closely with Product, Design, and backend teams, and own outcomes across GitLab.com, Dedicated, and Self-Managed environments as we build out this area. What you’ll do Architect how GitLab and third-party data is ingested, modeled, and synchronized into the Knowledge Graph as a near-real-time graph of the development ecosystem. Coordinate integration with external systems such as Jira, observability tools, Zendesk, and ServiceNow to add business context to data products. Design the Data Marketplace so customers can consume GitLab data through Snowflake, Databricks, and BigQuery without engineering handoffs. Publish GitLab observability data as OpenTelemetry and support the APIs used for data access. Define operational readiness for the systems your team ships across GitLab.com, Dedicated, and Self-Managed deployments. Translate ambiguous product problems into practical technical plans and iterative roadmaps in partnership with Product, Design, and the graph backend team. Resolve cross-team coordination with Graph Backend, AI Platform, and Infrastructure to keep delivery moving. Mentor senior and intermediate engineers through design reviews, pairing, and code review. What you’ll bring Experience owning product or platform systems end to end across multiple engineering and product teams at the staff level. Strong fullstack technical skills with proficiency in Go, Ruby, and Node. Depth in at least one area such as reporting and metrics platforms, graph data systems, or data access and warehouse integrations including Snowflake, Databricks, or BigQuery. Hands-on experience building production data ingestion, systems integrations, or data access capabilities. Experience operating multi-tenant systems across both SaaS and self-managed environments. Strong judgment in ambiguity , with the ability to make tradeoffs, create clarity, and move early-stage work forward. Clear written communication skills , including architecture proposals and design records that help distributed teams make progress asynchronously. A practical and proactive approach to collaboration, with transferable experience welcomed from adjacent platform, data, or product engineering backgrounds.
