Software Engineer, Data Infrastructure - AI Platform
RemoteUnited States
Job Summary
Conduct performance tuning on the StarRocks serving layer using AI-assisted query profiling to fix slow patterns before customer-facing incidents. Build and harden data pipelines for government cloud investigations, leveraging AI code review workflows to ship reliable changes in a high-compliance environment. Reduce single-point-offailure risk by independently operating and troubleshooting the serving layer to cut incident response times when the primary owner is unavailable. Triage production issues using AI-assisted debugging and log analysis to rapidly resolve root causes in a regulated setting. Requires U.S. citizenship, hands-on experience with distributed OLAP systems like StarRocks or Trino, and comfort using AI tools for debugging and code review. Join the Data Platform Serving team to maintain the fast, reliable, and compliant infrastructure powering TRM's AI-powered intelligence solutions for public and private sector agencies.
Required Qualifications
- U.S. citizenship
- 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: ability to pick up an unfamiliar piece of production infrastructure, use AI-assisted research and code exploration to ramp quickly, and take on-call responsibility with minimal oversight
- High level of personal ownership and accountability
- Comfort navigating ambiguity
- Creative problem solving and out-of-the-box thinking
- Ability to operate with a high degree of ambiguity
- Ability to adjust course as new information emerges
- Ability to maintain focus and positivity in a fast-moving and intense environment
- Ability to thrive in a high velocity, high ownership team environment
- Ability to work in situations that are not always fully defined
- Ability to experiment with speed and rigor
- AI fluency: ability to apply AI to accelerate repeatable workflows
- AI fluency: ability to structure and solve problems using AI
- AI fluency: ability to improve output quality using AI
- AI fluency: ability to increase speed and leverage using AI
- Ability to be among the top 10 percent of operators in their function in how they apply AI
- Ability to take pride in building a safer world for billions of people
- Ability to be energized by meaningful problems
- Ability to be motivated by ambitious goals
- Ability to be energized by working alongside mission-driven colleagues
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