Staff Fullstack Engineer, Data Products (Golang / Node)

Remote · United States of America · USD 152,800-259,200 · Remote · Posted Oct 2, 2026

At a glance

The Data Products team is a 0 to 1 foundational engineering group responsible for integrating GitLab and third-party SDLC data into a near-real-time knowledge graph.
This Staff Fullstack Engineer role involves technical leadership through ambiguity, architecting data products, and defining operational readiness for systems across GitLab.com, Dedicated, and Self-Managed environments.

Architect how GitLab and third-party data is ingested, modeled, and synced into the knowledge graph.
Lead integration with external systems like Jira, observability tools, Zendesk, and ServiceNow.
Architect the Data Marketplace for customer consumption via Snowflake, Databricks, and BigQuery.
Publish GitLab observability as OpenTelemetry and broker data-sharing APIs.
Define operational readiness for team deliverables across GitLab.com, Dedicated, and Self-Managed.
Translate ambiguous 0 to 1 problem spaces into concrete, iterable roadmaps.
Resolve cross-team dependencies across graph backend, AI Platform, and Infrastructure.
Mentor senior and intermediate engineers through design reviews, pairing, and code review.
Identify systemic bottlenecks and design systems to improve execution velocity.

Proven ability to influence as a Staff engineer owning product or platform systems end to end.
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, or warehouse integration.
Hands-on experience building production AI-powered tool orchestration.
Experience operating multi-tenant systems across SaaS and self-managed deployment.
Ability to act as a force multiplier and raise the codebase and team members.
High agency with the ability to clarify paths and drive work to completion.
Direct communication skills and a bias for writing down reasoning.