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TRM Labs is seeking a Staff Data Engineer to join the Data Platform Serving team, working on the StarRocks-backed serving layer that powers government cloud investigations. This is a high-impact role in one of TRM's most operationally demanding environments: a regulated, high-availability government cloud deployment.
You will own performance tuning on the StarRocks serving layer, using AI-assisted query profiling to identify and fix slow query patterns before they impact customers. You'll build and harden data pipelines feeding government cloud investigations, leveraging AI code review workflows to ship reliable changes faster in a high-compliance environment. A key responsibility is reducing single-point-of-failure risk by becoming the second engineer capable of independently operating and troubleshooting the serving layer, significantly cutting incident response time.
You'll use AI-assisted debugging and log analysis to triage production issues in a regulated environment, turning multi-hour investigations into rapid root-cause fixes. The role requires hands-on experience operating distributed OLAP or serving-layer systems (StarRocks, Trino, ClickHouse, or similar), including query tuning and performance optimization at scale. You should have experience owning data pipeline reliability and incident response, and comfort using AI tools (Claude, Cursor, or similar) to accelerate debugging, code review, and documentation.
This position requires U.S. citizenship due to government cloud data access requirements. You'll need an independent ownership mindset: the ability to pick up unfamiliar production infrastructure, use AI-assisted research to ramp quickly, and take on-call responsibility with minimal oversight.
The Data Platform Serving team is distributed but communicates constantly across Slack and async docs, with a bias toward direct, evidence-based technical discussion. Decisions are made close to the data by engineers who operate the systems. You'll work closely with Forward Deployed Engineering and Product teams to maintain parity between the government cloud and commercial platforms. Team rhythms include weekly syncs reviewing incidents and compliance milestones, async daily updates on pipeline health, sprint-based planning with clear ownership, and retros after production incidents.
