GitLab
About this role
GitLab is building in product analytics on top of its Data Insights Platform and its Knowledge Graph, and this role is the technical anchor across that work. The interesting part is the scope: ingesting GitLab and third party data into a near real time graph of a company's development ecosystem, pulling in context from Jira, observability tools, Zendesk and ServiceNow, and then designing a data marketplace so customers can consume GitLab data directly through Snowflake, Databricks and BigQuery without an engineering handoff. It also covers publishing GitLab observability data as OpenTelemetry. The posting says plainly that this is a zero to one space where you shape what gets built and make the early architectural calls, across GitLab.com, Dedicated and Self-Managed deployments.
Who this is for
What the posting requires: experience owning product or platform systems end to end across multiple engineering and product teams at staff level. Strong fullstack skills with proficiency in Go, Ruby and Node. Depth in at least one of 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 across multiple deployment environments.
The day to day: architecting how data is ingested, modelled and synchronised into the Knowledge Graph; coordinating integration with Jira, observability tools, Zendesk and ServiceNow; designing the data marketplace for Snowflake, Databricks and BigQuery; publishing observability data as OpenTelemetry and supporting the access APIs; defining operational readiness across GitLab.com, Dedicated and Self-Managed; turning ambiguous product problems into technical plans with Product and Design; coordinating with the graph backend, AI platform and infrastructure teams; and mentoring senior and intermediate engineers.
Location and office reality: listed as Bangalore, India. GitLab is a remote first company, but this particular requisition carries a Bangalore location rather than the Remote tag its other postings use, so confirm the arrangement with recruiting rather than assuming.
⚠️ Years of experience: GitLab does not publish a years figure on any of its postings, including this one. We write no number rather than inventing one, so this role will not appear under any experience filter. The Staff title and the end to end ownership language are the only level signals available.
Who this is for: a fullstack engineer with genuine data platform depth. GitLab also states that all team members are expected to use AI in their daily workflow, which is a cultural expectation worth knowing before you apply.
The day to day: architecting how data is ingested, modelled and synchronised into the Knowledge Graph; coordinating integration with Jira, observability tools, Zendesk and ServiceNow; designing the data marketplace for Snowflake, Databricks and BigQuery; publishing observability data as OpenTelemetry and supporting the access APIs; defining operational readiness across GitLab.com, Dedicated and Self-Managed; turning ambiguous product problems into technical plans with Product and Design; coordinating with the graph backend, AI platform and infrastructure teams; and mentoring senior and intermediate engineers.
Location and office reality: listed as Bangalore, India. GitLab is a remote first company, but this particular requisition carries a Bangalore location rather than the Remote tag its other postings use, so confirm the arrangement with recruiting rather than assuming.
⚠️ Years of experience: GitLab does not publish a years figure on any of its postings, including this one. We write no number rather than inventing one, so this role will not appear under any experience filter. The Staff title and the end to end ownership language are the only level signals available.
Who this is for: a fullstack engineer with genuine data platform depth. GitLab also states that all team members are expected to use AI in their daily workflow, which is a cultural expectation worth knowing before you apply.
Apply on company site
Opens job-boards.greenhouse.io, the employer's own application page. Applying is always free.