Staff Fullstack Engineer, Data Products – Golang / Node

GitLab

. 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 .

Posted 10/2/2026full-timeRemote • United States, CanadaLead💰 $152,800 - $259,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep full-stack expertise in Go, Ruby, and Node, with a strong focus on architecting data systems and integrating external platforms. Proven ability to lead cross-team collaborations and mentor engineers while driving operational readiness and execution velocity.

Highest-signal resume keywords

Full-Stack ExpertiseGo ProgrammingRuby ProgrammingNode ProgrammingData System Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingGraph Data SystemsProduction AI Tool OrchestrationCDC IntegrationMetrics Platforms

Soft Skills

InfluencingDirect CommunicationTeam AlignmentMentoringHigh Agency

Tools & Technologies

GitLabJiraOpenTelemetrySnowflakeDatabricksBigQueryServiceNowObservability Tools

Industry Keywords

Multi-Tenant SystemsSaaSSelf-Managed Deployment

Tech Stack

Tools & technologies

BigQueryNode.jsRubyServiceNowGo

About the role

Key responsibilities & impact

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, including Jira, observability tools, Zendesk, and ServiceNow
Architect the Data Marketplace so customers consume GitLab data through Snowflake, Databricks, and BigQuery without engineering dependencies
Publish GitLab observability as OpenTelemetry and broker data-sharing APIs
Define operational readiness for everything shipped across GitLab.com, Dedicated, and Self-Managed
Translate an ambiguous 0-to-1 problem space into concrete, iterable roadmaps with Product, Design, and the graph backend team
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, simplify processes, and design systems that improve execution velocity

Requirements

What you’ll need

Proven ability to influence as a Staff owning product or platform systems end to end across multiple engineering and product teams
High agency: finds the owner, clarifies the path, makes the call, and keeps pushing until the work lands
Force multiplier who raises 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 communication and ability to build alignment across teams
Bias to write things down and make reasoning legible
Team members are expected to incorporate AI into their daily workflows

Benefits

Comp & perks

Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave