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TRM Labs is seeking a Staff Data Platform Engineer to join the Data Platform Serving team, which owns the high-performance serving layer for government cloud investigations. This role focuses on operating and scaling a StarRocks-backed distributed OLAP system that powers real-time analytical capabilities for public sector investigators.
Key responsibilities include:
- Own performance tuning on the StarRocks serving layer, using AI-assisted query profiling to identify and resolve slow query patterns before they impact customers.
- Build and harden data pipelines feeding government cloud investigations, leveraging AI code review workflows to ship reliable changes in a high-compliance environment.
- Reduce single-point-of-failure risk by becoming the second engineer capable of independently operating and troubleshooting the serving layer, improving incident response times.
- Use AI-assisted debugging and log analysis to triage production issues in a regulated environment, converting multi-hour investigations into rapid root-cause fixes.
Required qualifications:
- U.S. citizenship (required for government cloud data access).
- Hands-on experience operating distributed OLAP or serving-layer systems (StarRocks, Trino, ClickHouse, or similar), including query tuning and performance optimization at scale.
- Experience owning data pipeline reliability and incident response.
- Comfort using AI tools (Claude, Cursor, or similar) to accelerate debugging, code review, and documentation.
- Independent ownership mindset with ability to ramp quickly on unfamiliar production infrastructure and take on-call responsibility with minimal oversight.
The team operates with distributed async communication, evidence-based technical discussion, and sprint-based planning. Engineers who operate systems make architectural decisions with input from the broader Data Platform organization. The environment is fast-paced, high-ownership, and mission-driven, with a focus on solving complex problems at the intersection of AI, national security, and crime prevention.
