Forward Deployed Engineer - US National Security

TRM Labs

2d•Hybrid

About The Position

As a Forward Deployed Engineer, you will work directly with TRM's national-security customers — deploying our platform into their environments, sitting with the people who use it, and building what the mission actually needs. This is a generalist engineering role. In a given quarter you might ship application code, debug a Kubernetes workload in a restricted environment, design a data schema, stand up cloud infrastructure, or prototype an entirely new capability because a customer described a problem nobody has solved yet. You will often be the only TRM engineer in the room. What you build enables our government customers to use TRM securely in the most demanding environments in the world — and carries what you learn there back into the product.

Requirements

Strong programming ability in Python and/or Node.js/TypeScript, with real fluency developing with AI — coding agents and LLM tooling are part of how you ship, and you have judgment about where they help and where they don't.
Hands-on Kubernetes: deploying, debugging and reasoning about real workloads. Maintaining someone else's cluster is not the same thing.
Production AWS experience — building environments, not just consuming them.
Working fluency with relational databases (PostgreSQL or similar): schema design, query tuning, moving data around safely.
Range. Concrete examples of delivering outside your primary specialty — a new language, datastore or platform you picked up because the project needed it.
Outstanding written and verbal communication. You will be the only engineer in front of a customer regularly, and comfort there is not optional.

Nice To Haves

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

Responsibilities

Deploy, integrate and operate TRM's platform inside customer environments - cloud and air-gapped - and own the outcome, not just your slice of it.
Sit directly with mission users, translate what they need into working software, and build it: integrations, data pipelines, and prototypes that prove out a capability before it's a product.
Deliver across whatever the problem requires — application code, Kubernetes, cloud infrastructure, databases, data flow - rather than staying inside one specialty.
Act as the technical bridge back to TRM's product and engineering teams, carrying mission context into the roadmap.
Diagnose and resolve hard problems in constrained environments, with limited tooling and limited outside help.

Benefits

AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime.
Platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks.
Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure.
Work directly with TRM's national-security customers
Deploying our platform into their environments
Sitting with the people who use it
Building what the mission actually needs
Ship application code
Debug a Kubernetes workload in a restricted environment
Design a data schema
Stand up cloud infrastructure
Prototype an entirely new capability
Enable government customers to use TRM securely in the most demanding environments
Carry what you learn there back into the product
Deploy, integrate and operate TRM's platform inside customer environments - cloud and air-gapped
Own the outcome, not just your slice of it
Sit directly with mission users
Translate what they need into working software, and build it: integrations, data pipelines, and prototypes that prove out a capability before it's a product
Deliver across whatever the problem requires — application code, Kubernetes, cloud infrastructure, databases, data flow
Act as the technical bridge back to TRM's product and engineering teams, carrying mission context into the roadmap
Diagnose and resolve hard problems in constrained environments, with limited tooling and limited outside help
Small, senior and high-trust team
Everyone owns a real surface end to end; nobody is handed a queue of tickets.
Closest team at TRM to our customers, and we put them first.
Do what it takes for their mission to succeed.
Align to US-eastern hours, on-site and remote
Communicate across a lot of channels — high-side chat, high-side and low-side email, Slack, phone, Signal, Google Meet — switching between them fast when the situation calls for it.
Weekly team syncs plus project check-ins.
Keep tracking current in Linear and raise problems the moment we see them rather than at the next standup.
Rapid issue resolution. FDEs identify and diagnose critical on-site issues, open an incident channel or virtual war room with the remote team, and land fixes in minutes to hours — then run the retro and share the lesson with internal and customer stakeholders within 48 hours.
Navigating bureaucratic hurdles. FDEs anticipate customer-side delays rather than absorbing them: building relationships with customer stakeholders, finding the bottleneck, and finding another path to approval. Weeks of waiting become days.
Efficient knowledge transfer. Documentation stays current in Notion and work stays current in Linear. Anything that threatens a milestone is flagged within 24 hours, so the remote team is never surprised.
High velocity, high ownership team that expects clarity, follow-through, and impact.
Energized by hard problems, experimentation, and continuous feedback.
If something takes months elsewhere, it will ship here in days.
Work sits at the intersection of AI, national security, and fighting crime.
Problems are complex, the stakes are real, and the environment evolves quickly.
Pace and intensity of the work reflect the importance of the mission.
Requires a high level of ownership, adaptability, collaboration, and creative problem-solving.
Priorities and targets to change quickly as we experiment and iterate
Work that often requires operating with a high degree of ambiguity
A high level of personal ownership and accountability
Close collaboration across teams and functions
Frequent, high-touch communication
Creative problem solving and out-of-the-box thinking
A pace that rewards urgency, adaptability, and outcomes
Environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined.
Requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment.
Work is deeply rewarding.
Excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues.
AI fluency is a baseline expectation at TRM.
AI meaningfully changes how top performers operate.
Expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.
AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: Accelerate repeatable workflows, Structure and solve problems, Improve output quality, Increase speed and leverage.
Evaluated on applied AI fluency during the interview process.
Three leadership principles: Impact-Oriented Trailblazer, Master Craftsperson, Inspiring Colleague.
TRM is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others.
Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.