Senior Data Platform Engineer - AI Platform

TRM Labs · Remote · United States · North America ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior level role
  • Fully remote (US)
  • U.S. citizenship required
  • StarRocks + AI tools
  • High-compliance env

Join the Data Platform Serving team to maintain the high-availability infrastructure supporting public sector investigations. You will work on the StarRocks-backed serving layer, ensuring it remains fast, reliable, and compliant as it scales. This role offers the chance to build distributed systems experience in a demanding, regulated environment alongside the current domain owner.

What you'll do

  • Tune StarRocks performance using AI-assisted query profiling to prevent incidents
  • Build and harden data pipelines for government cloud investigations
  • Reduce single-point-of-failure risk by becoming the second operator of 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 access
  • Experience operating distributed OLAP or serving-layer systems like StarRocks or Trino
  • Proven ability in query tuning and performance optimization at scale
  • Comfort using AI tools such as Claude or Cursor for debugging and code review
  • Independent ownership mindset with ability to troubleshoot unfamiliar infrastructure

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 planning
  • Asynchronous daily updates via Slack
  • Sprint-based planning with clear ownership per workstream
  • On-call responsibility for the serving layer

What you get

  • Backed by Goldman Sachs, Bessemer, and Y Combinator
  • Opportunity to work on national security and crime disruption
  • High-velocity environment with rapid shipping cycles
  • Direct input on architecture and technical tradeoffs

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