Data Platform Engineer - AI Platform

TRM Labs · Remote · United States · North America ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (US citizens)
  • StarRocks + Distributed OLAP
  • AI-assisted workflows
  • Government cloud focus
  • High-ownership culture

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 government cloud deployment.

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 risks by sharing operational ownership
  • Triage production issues using AI-assisted debugging and log analysis
  • Ship reliable changes faster using AI code review workflows

What you'll need

  • U.S. citizenship is mandatory for government cloud access
  • Experience operating distributed OLAP or serving-layer systems
  • Proficiency in query tuning and performance optimization at scale
  • Comfort using AI tools like Claude or Cursor for debugging
  • Ability to independently own infrastructure and on-call duties

Stack

  • StarRocks
  • Claude
  • Trino
  • ClickHouse
  • Cursor

How you'll work

  • Distributed-first company with hubs in major US cities
  • Weekly team syncs for incidents and infrastructure work
  • Asynchronous daily updates via Slack
  • Sprint-based planning with clear ownership
  • On-call responsibility for the serving layer

What you get

  • Backed by Goldman Sachs, Bessemer, and Y Combinator
  • Opportunity to impact national security and crime disruption
  • Work with a high-velocity, high-ownership team
  • Access to internal AI tools for workflow acceleration

Hiring process

  • Recruiter intro call
  • Hiring manager deep dive
  • Technical skills interviews
  • Hands-on case study panel
  • Reference checks
  • Offer presentation