Staff Fullstack Engineer, Data Products – Golang / Node

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Design the architecture for ingesting, modeling, and syncing GitLab and third-party data into the knowledge graph, creating a near-real-time representation of the development ecosystem.

• Oversee the integration of external systems to provide business context, including Jira, observability tools, Zendesk, and ServiceNow.

• Create the architecture for the Data Marketplace, enabling customers to access GitLab data via Snowflake, Databricks, and BigQuery without requiring engineering assistance.

• Release GitLab observability as OpenTelemetry and facilitate the development of data-sharing APIs.

• Establish operational readiness standards for all products delivered on GitLab.com, Dedicated, and Self-Managed versions.

• Convert vague 0-to-1 problem spaces into clear, iterative roadmaps in collaboration with Product, Design, and the graph backend team.

• Address cross-team dependencies involving the graph backend, AI Platform, and Infrastructure.

• Guide and mentor senior and intermediate engineers through design reviews, collaborative coding, and code assessments.

• Detect systemic bottlenecks, streamline processes, and design systems that enhance execution speed.

⛳️ Requirements

• Demonstrated capability to influence as a Staff member overseeing product or platform systems from end to end across various engineering and product teams.

• High level of agency: identifies the owner, clarifies the path, makes decisions, and continues pushing until the work is completed.

• Acts as a force multiplier, enhancing the skills of both colleagues and the codebase.

• Extensive full-stack expertise, with strong skills in Go, Ruby, and Node.

• In-depth knowledge of at least one analytics and metrics platform, graph data systems, CDC, and warehouse integration.

• Practical experience in building production-level AI-powered tool orchestration.

• Experience managing multi-tenant systems in both SaaS and self-managed environments.

• Strong communication skills and the ability to foster alignment among teams.

• A tendency to document processes and make reasoning transparent.

• Team members are anticipated to integrate AI into their daily tasks.

🏝️ Benefits

• Benefits designed to support your health, financial well-being, and overall wellness.

• Flexible Paid Time Off policy.

• Opportunities to join Team Member Resource Groups.

• Equity Compensation and Employee Stock Purchase Plan.

• Growth and Development Fund.

• Parental Leave.