Data Engineer, AI Platform
TRM Labs · Remote · United States · North America ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote (US)
- U.S. Citizenship required
- StarRocks + Distributed OLAP
- AI-assisted workflows
- High-availability GovCloud
Join the Data Platform Serving team to support TRM’s government cloud investigations. You will work on the StarRocks-backed serving layer, ensuring it remains fast, reliable, and compliant as it scales. This role involves partnering with the current domain owner to reduce operational risk and improve system resilience.
What you'll do
- Tune StarRocks serving layer performance using AI-assisted query profiling
- Build and harden data pipelines for government cloud investigations
- Reduce single-point-of-failure risk by becoming the second operator for the serving layer
- Triage production issues using AI-assisted debugging and log analysis
- Ship reliable changes faster using AI code review workflows
What you'll need
- Must hold U.S. citizenship for government cloud data access
- Experience operating distributed OLAP or serving-layer systems like StarRocks, Trino, or ClickHouse
- Proven ability in query tuning and performance optimization at scale
- Experience owning data pipeline reliability and incident response
- Comfort using AI tools such as Claude or Cursor for debugging and code review
- Ability to independently operate unfamiliar infrastructure with minimal oversight
Stack
- StarRocks
- Trino
- ClickHouse
- Claude
- Cursor
How you'll work
- Distributed-first company with hubs in major US cities and London
- Weekly team syncs for incident review and planning
- Asynchronous daily updates via Slack
- Sprint-based planning cycles with clear ownership
- On-call responsibility for the serving layer
What you get
- Backed by Goldman Sachs, Bessemer, Y Combinator, and Thoma Bravo
- Series C company with $220M in total funding
- Opportunity to work on national security and crime disruption
- High-ownership culture with direct impact on product architecture
Hiring process
- Recruiter intro call
- Hiring manager deep dive
- Technical interviews focused on critical skills
- Hands-on case study panel session
- Reference checks
- Offer presentation