Senior Data Platform Engineer: AI Platform for GovCloud

TRM Labs

United States

On-site

USD 150,000 - 190,000

Full time

11 days ago

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Job summary

TRM Labs in the United States is seeking a Senior Data Platform Engineer to own the StarRocks serving layer in our government cloud. You will tune performance, design reliable data pipelines, and reduce single points of failure in a distributed team setting.

This role combines high-availability operations with AI-enabled tooling to accelerate debugging and ensure compliance. You will ship robust changes in a fast-paced environment where ownership and rapid decision-making are valued.

Qualifications

  • Hands-on experience operating distributed OLAP or serving-layer systems (StarRocks, Trino, ClickHouse) at scale.
  • Experience owning data pipeline reliability and incident response.
  • Comfort using AI tools (Claude, Cursor, or similar) to accelerate debugging, code review, and documentation.

Responsibilities

  • Own performance tuning on the StarRocks serving layer, using AI-assisted query profiling to fix slow patterns before incidents.
  • Build and harden data pipelines feeding government cloud investigations, with reliable changes in a high-compliance environment.
  • Reduce single-point-of-failure risk by becoming the second engineer who can operate and troubleshoot the serving layer.
  • Use AI-assisted debugging and log analysis to triage production issues and accelerate root-cause fixes.

Skills

Distributed OLAP
StarRocks
Query tuning
Performance optimization
Incident response
AI tooling

Tools

Trino
ClickHouse
StarRocks Serving Layer

Job description

TRM Labs in the United States is seeking a Senior Data Platform Engineer to own the StarRocks serving layer in our government cloud. You will tune performance, design reliable data pipelines, and reduce single points of failure in a distributed team setting.

This role combines high-availability operations with AI-enabled tooling to accelerate debugging and ensure compliance. You will ship robust changes in a fast-paced environment where ownership and rapid decision-making are valued.

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