Staff Fullstack Engineer - Data Products

Higlobe, Inc.; India; On-site; INR 4,000,000 - 8,000,000; Full time

Benefits offered by this job

Flexible paid time off

Equity compensation

Growth & Development Fund

Parental Leave

Team Member Resource Groups

Job summary

GitLab is seeking a Staff Fullstack Engineer - Data Products to build in-product insights atop our Data Insights Platform and Knowledge Graph. You will anchor technical decisions across reporting dashboards, ingestion, and data delivery, shaping architecture in a fast-paced, 0 to 1 space.

You’ll collaborate with Product, Design, and backend teams to own outcomes for GitLab.com, Dedicated, and Self-Managed deployments, driving scalable data solutions and actionable intelligence for customers.

Qualifications

• Experience owning product or platform systems end to end across multiple engineering and product teams at staff level.
• Strong fullstack technical skills with experience in Go, Ruby, and Node.
• Hands-on production data ingestion, systems integrations, or data access capabilities.
• Experience operating multi-tenant SaaS and self-managed environments.

Responsibilities

• Architect data ingestion, modeling, and synchronization into the Knowledge Graph.
• Coordinate integrations with external systems like Jira, observability tools, Zendesk, and ServiceNow.
• Design the Data Marketplace to enable data access via Snowflake, Databricks, and BigQuery.
• Publish observability data via OpenTelemetry and support data APIs.
• Define operational readiness for GitLab deployments across environments.
• Translate product problems into actionable technical roadmaps with cross-team collaboration.
• Mentor engineers through design reviews and code reviews.

Skills

Go

Ruby

Node

Tools

Snowflake

Databricks

BigQuery

Job description

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our valuesand continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

* Fortune 500 is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

Staff Fullstack Engineer - Data Products

An overview of this role

As a Staff Fullstack Engineer - Data Products, you will help build GitLab's in-product insights on top of the Data Insights Platform and the GitLab Knowledge Graph. You will be the technical anchor across reporting dashboards, inbound graph ingestion, and outbound data delivery, helping turn software delivery data into reliable and actionable intelligence for customers and internal teams. This is a strong fit if you want to work in a 0 to 1 space where you can shape what gets built, make early architectural choices, and guide work from specification through production health. In this role, you will provide technical guidance across your domain, partner closely with Product, Design, and backend teams, and own outcomes across GitLab.com, Dedicated, and Self-Managed environments as we build out this area.

What you’ll do

• 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.

What you’ll bring

• 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.

About the team

The Data Products team is building the foundation for how GitLab turns software delivery data into reliable, interoperable, and actionable intelligence for customers and internal teams. Our scope includes Software Engineering Intelligence, dashboard and reporting frameworks, external data access and output, and internal and external data ingestion across areas such as DORA metrics, value stream reporting, AI impact, software delivery trends, security and quality metrics, custom reporting, data access APIs, OpenTelemetry-based output, and ingestion into the Knowledge Graph and Data Insights Platform. We work in a high-ambiguity, high-impact space, and we collaborate closely across product and platform groups using GitLab's asynchronous, distributed way of working.

How GitLab Supports Full-Time Employees

• 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

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.