Trm Labs
Staff Infrastructure Engineer
North America, Remote. Posted 25 months ago
The role
You will build and own a slice of the platform infrastructure, including multi-cloud Kubernetes, a self-serve PaaS, and agent-native infrastructure. You will manage reliability, databases, and compliance as code to support AI-powered intelligence solutions.
What you will do
- Manage multi-region, multi-cloud Kubernetes across US GCP, EU GCP, and AWS GovCloud
- Extend a self-serve internal PaaS with golden paths and guardrails
- Build agent-native infrastructure and secure sandboxes for AI agents
- Implement zero-trust secrets with Vault
- Perform reliability engineering including SLOs, error budgets, and disaster recovery
- Manage Postgres on Kubernetes, including migrations, replication, and redundancy
- Build compliance as code for SOC2 and FedRAMP posture
- Own an Area of Responsibility end to end
- Define metrics and fix root causes
Required qualifications
- Has taken infrastructure from zero to one
- Writes software in Go, Python, or similar
- Deep in GCP and/or AWS (compute, IAM, VPC, networking, storage, load balancing)
- Has run Kubernetes in production (GKE/EKS)
- Up to date with the state of the art for IaC
- Can debug low-level problems like networking issues, saturated nodes, slow queries, or failing deploys
- Fluent in modern platform toolchain including GitOps (Argo/Flux), containers, and CI/CD
- Strong instincts for security and databases
- Experience with zero-trust, secret management, systems hardening, and provisioning/migrating production databases
- AI fluency
Nice to have
- SOC2/FedRAMP exposure
Before you apply
- Review the job description carefully to highlight experience and impact
- Provide thoughtful and accurate answers to application questions
- Use of AI tools during interviews is not permitted without prior approval
About the company
TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. The company is a Series C company with $220M in total funding.