Senior Infrastructure Engineer

Build a Safer World.

TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's 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.

In one line

Our team builds the platform that every TRM product, every internal AI agent, and every investigation our customers run depends on. We are not maintaining a system someone else finished - we are building its next generation, on the bleeding edge, for workloads where reliability and security are not negotiable. We're looking for an engineer who has taken infrastructure from zero to one and can operate it in production.

Why this work matters

TRM's platform lets financial institutions and governments trace illicit finance, disrupt crypto- and AI-enabled crime, and run some of the highest-stakes investigations in the world. Our infrastructure is what lets investigators and banks trust the data underneath them . When we get it right, a case moves and a threat gets stopped. When infrastructure is weak, everything above it is slow, fragile, or unsafe. That's the job: make the foundation something the mission can be built on.

What you'll actually work on

This is real, current work - not a hypothetical roadmap:

• Multi-region, multi-cloud Kubernetes across US GCP, EU GCP, and AWS GovCloud - making "stand up another site" a self-serve configuration instead of a bespoke project.

• A genuinely self-serve internal PaaS. ~60+ engineers already deploy on it, the large majority with no infra person in the loop. You extend the paved road - golden paths, guardrails, and interfaces engineers actually enjoy using.

• Agent-native infrastructure. Secure sandboxes where AI agents build and ship, and encoding our operational knowledge into skills so the platform increasingly runs and heals itself.

• Zero-trust secrets with Vault. Short-lived, dynamic credentials replacing every long-lived secret in the system - closing the blast radius on leaked passwords, one database at a time.

• Reliability engineering that means it. SLOs and error budgets, real observability, and disaster recovery with validated cross-region restore and sub-hour RTO.

• Databases as a first-class platform concern. Postgres on Kubernetes, migrations, replication, and redundancy for services that can't blink.

• Compliance as code. SOC2 and FedRAMP posture built into the platform so security is the default, not a scramble before an audit.

What you'll own

You'll own an Area of Responsibility end to end - a slice of the platform that is genuinely yours. You'll define what "great" looks like for it and build the glide path to get there rather than waiting for one; obsess over the metrics that tell you whether it's actually working; and fix root causes so a class of problems disappears instead of working the ticket queue faster. You own the outcome, not just your layer of it.

Who you are

This is a builder's role , and the bar is high:

• You've taken infrastructure from zero to one - designed and shipped a platform capability that other engineers came to depend on, not just operated one that already existed.

• You write real software (Go, Python, or similar). You build tooling, automation, and services - you don't only wire up other people's tools.

• You're deep in GCP and/or AWS - compute, IAM, VPC, networking, storage, load balancing - and comfortable operating across clouds.

• You've run Kubernetes in production (GKE/EKS) and are up to date with the state of the art for IaC.

• You can debug low-level problems without hand-holding - a networking issue, a saturated node, a slow query, a failing deploy - and get to the actual cause.

• You're fluent across the modern platform toolchain: GitOps (Argo/Flux), containers, CI/CD, observability built on SLOs rather than dashboards no one reads.

• You have strong instincts for security and databases — zero-trust, secret management, systems hardening; provisioning and migrating production databases. SOC2/FedRAMP exposure is a plus.

If you've built platforms that other engineers rely on every day, we want to talk.

What makes people thrive here

High ownership and low ego. Mission-first. Comfortable where speed and rigor have to coexist - something that takes a quarter elsewhere is expected to move in weeks here, without cutting the corners that matter for security and reliability. You see infra, security, data, and product as one connected system, and you turn one-off fixes into reusable paved roads by instinct.

What should give you pause

The scope is real and the playbook isn't fully written - you'll be writing it. Reliability and compliance expectations are high, and mistakes here show up as real incidents for customers and internal teams. If you prefer an environment where everything is defined before you start, this will feel uncomfortable. If that kind of ownership is exactly what you're after, you'll love it.

How we work

Remote-first (US). Small, high-leverage team with a weekly on-call rotation you'll take part in. We're an AI-native team in practice, not in theory - we use agents in our daily workflow and ship the skills that let the platform operate itself.

The estimated base salary range for this role and level is $205,000 - $245,000

Application Instructions

If you’re interested in joining TRM, we encourage you to apply directly. Every application is reviewed by our Talent team.

Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. Please also provide thoughtful and accurate answers to the application questions, as these will be used to evaluate your skills and qualifications for the role.

If you send your resume directly to someone at TRM, we can’t guarantee it will reach the appropriate hiring team. Applying directly is the best way to ensure your application will be considered.

Interviewing with TRM

Our process is designed to understand how you think, solve problems, and deliver impact, while allowing you to evaluate TRM. Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview.

• Recruiter Intro: Qualifications, motivations, and alignment with the role.

• Hiring Manager: Deep dive into your relevant experience, skills, and impact.

• First Round: 1–2 interviews focused on the skills most critical to the role.

• Final Round: Hands-on case study. This is usually a panel-style session where we go deeper into your craft, problem-solving, and alignment with TRM.

• References: Former colleagues who can provide insight into your work and impact.

• Offer: Congrats! Your recruiter will present the offer and compensation details.

• Welcome to TRM: We're excited to build a safer world with you!

Your recruiter will share your specific interview plan and preparation guidance along the way.

AI Fluency at TRM

AI fluency is a baseline expectation at TRM.

We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.

At TRM, 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

You will be evaluated on applied AI fluency during the interview process.

Life at TRM

We are building a safer world. That promise shows up in how we work every day.

TRM moves FAST. We are a high-velocity, high-ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days.

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