Staff Fullstack Engineer – Data Products

🕒 July 13

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

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GitLab

WebsiteLinkedInAll Job Openings

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 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.

🎯 Requirements

• 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.

🏖️ 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