Staff Fullstack Engineer, Data Products – Golang / Node

🔥 0 minutes ago

🌐 United States, Canada – Remote

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💵 $152.8k - $259.2k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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GitLab

1001 - 5000 employees

Founded 2014

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 Secondary Market on 2020-11

Consulting • Marketing • Artificial Intelligence

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• 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

• 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

• 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

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