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Intermediate Fullstack Engineer - Data Products
An overview of this role
Data Products integrates GitLab and third-party software development lifecycle data, and builds the dashboards, APIs, and data products that turn it into reliable, interoperable intelligence for customers and internal teams.
You'll work across the stack, contributing to frontend experiences, backend services, APIs, and AI-enabled workflows. This is a hands-on product engineering role. You'll develop features, learn how we build and operate large-scale data systems, and work closely with Senior and Staff Engineers to deliver secure, reliable, and performant solutions.
We don't expect you to have all the answers, but we do expect you to ask questions, take ownership of your work, and make progress through ambiguity.
What you'll do
Develop well-scoped features, with support from Senior and Staff Engineers, for how GitLab and third-party data is ingested, modeled, and synced into the knowledge graph, meeting team goals for data freshness, sync reliability, and graph coverage.
Build parts of integrations with external systems for business context, including Jira, observability tools, Zendesk, and ServiceNow, increasing indexed business context while meeting team goals for data completeness and freshness in the graph.
Build features for the Software Engineering Intelligence dashboards, including DORA, value stream reporting, GitLab Duo, and software development lifecycle metrics rolled up across organizational structures, meeting team goals for reporting accuracy, performance, and coverage.
Contribute to design discussions and technical direction for your features, with guidance from Senior and Staff Engineers, helping deliver secure, reliable, and performant solutions on schedule.
Raise blockers and risks early, and work with Senior Engineers to unblock your work so milestones stay on track and delivery risk is reduced.
Participate in design review and code review, and apply feedback to improve code quality, maintainability, and delivery velocity.
Build a deep understanding of the system, including the data model and the platform the team builds on, so you can ship changes more independently and resolve issues faster.
You find the owner, clarify the path, make the tradeoff, build the first version, and keep pushing until the work lands.
Deep production experience building and operating fullstack applications.
Hands-on fullstack proficiency with Go, Ruby, and Node.
Experience with data platforms such as ClickHouse or comparable OLAP systems, including data modeling and query optimization.
Hands-on experience building AI-powered product features.
Experience operating multi-tenant applications across software as a service and self-managed environments.
High velocity with sound judgment, strong written communication, and the ability to decompose complex initiatives into shippable milestones while creating alignment across stakeholders in an async-first environment.
Experience building third-party or API integrations.
About the team
Data Products works across three surfaces:
Dashboard and Reporting Framework
Builds AI-native dashboard components so customers and internal teams can see engineering health and GitLab's impact across DORA, value stream reporting, AI impact, software development lifecycle trends, security, and quality, and launch their own custom dashboards on the same framework.
Internal Ingestion
Ingests third-party data into GitLab and powers tools like the knowledge graph, building integrations so that signals from systems like Jira, Zendesk, ServiceNow, and observability tools become one queryable, near-real-time graph of the developer ecosystem.
External Ingestion
Makes GitLab and knowledge graph data consumable outside the product through marketplace listings, data access APIs and software development kits, and co-branded partner products.
We are a team in a highly ambiguous, high-impact space, and we need engineers who can create clarity while building, make practical tradeoffs, unblock cross-team work, and keep pushing until meaningful customer value lands.
Remote-Global
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
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
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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.