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TRM Labs

Blockchain analytics for financial crime

Forward Deployed Engineer - US National Security

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeWashington, DC, USANo salary listedHybrid

About the Job

Requirements

  • Strong programming ability in Python and/or Node.js/TypeScript, with practical fluency developing with AI coding agents and large language model tooling and judgment about where those tools help.
  • Hands-on Kubernetes experience deploying, debugging, and reasoning about real workloads; maintaining someone else's cluster alone is insufficient.
  • Production AWS experience building environments, not just consuming them.
  • Working fluency with relational databases such as PostgreSQL, including schema design, query tuning, and safe data movement.
  • Concrete examples of delivering outside one's primary specialty, such as learning a new language, datastore, or platform to meet project needs.
  • Outstanding written and verbal communication and comfort regularly serving as the only engineer in front of a customer.
  • Ability to work aligned to US Eastern hours and participate in in-person R&D work weeks, typically 1–2 times per quarter, with possible additional travel based on team and cross-functional needs.

Responsibilities

  • Deploy, integrate, and operate TRM's platform inside customer environments, including cloud and air-gapped environments, and own the outcome end to end.
  • Work directly with mission users, translate their needs into working software, and build integrations, data pipelines, and prototypes that demonstrate capabilities before they become products.
  • Deliver across application code, Kubernetes, cloud infrastructure, databases, and data flow according to the problem's needs.
  • Serve as the technical bridge to TRM's product and engineering teams, bringing mission context into the roadmap.
  • Diagnose and resolve difficult problems in constrained environments with limited tooling and outside help.
  • Identify and diagnose critical on-site issues, open an incident channel or virtual war room with the remote team, and land fixes; then run a retrospective and share lessons with internal and customer stakeholders within 48 hours.
  • Anticipate customer-side bureaucratic delays, build relationships with customer stakeholders, identify bottlenecks, and find alternative paths to approval.
  • Keep documentation current in Notion and work current in Linear, and flag anything threatening a milestone within 24 hours.
  • Use AI to accelerate repeatable workflows, structure and solve problems, improve output quality, and increase speed and leverage.

Desired Qualifications

  • Infrastructure as code using Terraform and GitOps using Argo CD.
  • Data engineering at scale, including orchestration, streaming, and columnar or analytics data stores.
  • Distributed systems design and debugging.
  • Building machine learning or agentic systems.
  • Deep Linux/Unix and networking experience, especially in restricted or disconnected environments.
  • Prior delivery inside classified or otherwise regulated government environments.

About the Company

TRM Labs

Blockchain analytics for financial crime

TRM Labs provides blockchain intelligence tools for financial institutions, crypto businesses, and government agencies to detect and investigate crypto-related financial crime and fraud. It analyzes blockchain activity using data engineering, data science, and threat intelligence to surface risk signals, enable investigations, and support compliance workflows. Its products combine on-chain and off-chain data, risk scoring, and case management through subscription services and customized solutions. Compared to others, TRM Labs serves a diverse client base (banks, exchanges, regulators) and emphasizes end-to-end investigative capabilities and tailored risk insights rather than generic analytics. The company’s goal is to improve the security and integrity of the global financial system by reducing illicit activity in the crypto space.

Company size
201-500
Company stage
Series C
Total funding
$220M
Headquarters
San Francisco, CA
Founded
2018

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