Senior Software Engineer, Data Infrastructure - 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 position
  • Fully remote (US)
  • US citizenship required
  • StarRocks + Distributed Systems
  • AI-assisted workflows

Join the Data Platform Serving team to maintain the high-availability, regulated environment supporting 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 becoming the second engineer capable of independently operating this critical infrastructure, reducing single-point-of-failure risks while leveraging AI tools for debugging and code review.

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
  • Reduce operational risk by providing backup coverage for the serving layer
  • Triage production issues using AI-assisted debugging and log analysis
  • Ship reliable changes quickly in a high-compliance environment

What you'll need

  • Must hold US citizenship for government cloud data access
  • Experience operating distributed OLAP or serving-layer systems like StarRocks
  • Proven ability in query tuning and performance optimization at scale
  • Comfort using AI tools such as Claude or Cursor for debugging and review
  • Ability to take ownership of unfamiliar infrastructure with minimal oversight

Stack

  • StarRocks
  • Claude
  • Cursor
  • Slack

How you'll work

  • Distributed-first company with hubs in major US cities
  • Weekly team syncs for incident and infrastructure reviews
  • Asynchronous daily updates via Slack
  • Sprint-based planning with clear ownership
  • On-call responsibility for production infrastructure

Hiring process

  • Recruiter introductory call
  • Hiring Manager deep dive into experience
  • One or two technical skill interviews
  • Hands-on case study panel session
  • Reference checks and offer presentation