Staff Data Engineer - AI Platform
TRM Labs · Remote · United States · North America ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Staff level role
- Fully remote (US)
- U.S. citizenship required
- StarRocks + AI tools
- High-compliance env
Join the Data Platform Serving team to maintain high-availability infrastructure for public sector investigators. You will work on the StarRocks-backed serving layer, ensuring it remains fast, reliable, and compliant as it scales. This role involves reducing single-point-of-failure risks in a regulated environment.
What you'll do
- Tune performance on the StarRocks serving layer using AI-assisted query profiling
- Build and harden data pipelines for government cloud investigations
- Use AI code review workflows to ship reliable changes in a high-compliance setting
- Reduce single-point-of-failure risk by independently operating the serving layer
- Triage production issues using AI-assisted debugging and log analysis
What you'll need
- Must hold U.S. citizenship for government cloud data access
- Experience operating distributed OLAP or serving-layer systems like StarRocks or Trino
- 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 take on-call responsibility with minimal oversight
Stack
- StarRocks
- Claude
- Trino
- ClickHouse
- Cursor
How you'll work
- Distributed-first company with hubs in major US cities and London
- Weekly team syncs for incident reviews and infrastructure work
- Asynchronous daily updates via Slack
- Sprint-based planning cycles with clear ownership
- On-call responsibility for production infrastructure
What you get
- Backed by Goldman Sachs, Bessemer, and Y Combinator
- Opportunity to work on national security and crime disruption
- High-ownership culture with direct technical decision-making
- Collaboration with Forward Deployed Engineering and Product teams
Hiring process
- Recruiter intro call for qualifications and motivation
- Hiring manager interview on experience and impact
- One or two technical interviews focused on critical skills
- Final round panel with a hands-on case study
- Reference checks with former colleagues
- Offer presentation and onboarding