About this role
Role Overview
TRM Labs seeks a Senior Software Engineer for Data Infrastructure (RDBMS) to develop, operate, and scale relational database systems that serve petabyte-scale data. This fully remote position is based in North America and suits an experienced engineer who wants to build resilient financial and national security intelligence infrastructure.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
TRM Labs delivers AI-powered intelligence platforms that empower public and private sector organizations to investigate and disrupt illicit financial activity and threat networks. Headquartered in San Francisco with a distributed-first operational model across multiple international hubs, the company is backed by prominent investors including Goldman Sachs, Bessemer, Y Combinator, and Thoma Bravo.
How to Apply
Interested candidates should submit their application directly through the official TRM Labs careers page for review by the talent team.
Skills and tech stack
Questions candidates ask
What is the primary focus of this role?
The role focuses on developing, operating, and scaling petabyte-scale relational database systems, managing the serving layer end-to-end from query performance to availability.
Is this position remote?
Yes, this role is remote with a location scope of North America, operating in an async-first distributed environment across US and Canada working hours.
What is the expected salary range for US candidates?
The estimated base salary range for US-based candidates is between $200,000 and $220,000, with potential eligibility for TRM's equity plan.
What specific technical background is required?
Candidates need 5 to 8 years of experience building and operating production PostgreSQL environments, deep SQL optimization skills, CDC tooling experience, and proficiency in Python or Go.
How does TRM Labs incorporate AI into daily work?
AI fluency is a baseline expectation at TRM Labs, with team members expected to use tools like Claude and Copilot for accelerating workflows, database profiling, query analysis, and automation.
