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Job Description
Build a Safer World.
TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all.
You will operate at the intersection of TRM’s technology and our government customers’ most critical missions. You will build, deploy, and iterate on systems in real operational environments, often with incomplete information and evolving requirements. Success in this role comes from adaptability, curiosity, strong execution, and the determination to solve hard problems that matter.
This role designed for individuals with exceptional aptitude, rapid learning ability, and a bias toward action. This role is not defined by a narrow technical specialty. Instead, it is centered on delivering mission impact by applying whatever technologies, tools, or engineering disciplines are required—whether AI, ML, full-stack software, data engineering, or platform infrastructure.
The impact you’ll have here:
- Deliver mission outcomes by developing and deploying greenfield technical solutions—from prototypes to production systems—across diverse technology stacks.
- Learn and apply new skills rapidly, whether building AI-powered applications, designing data pipelines, extending full-stack systems, or integrating with secure government environments.
- Serve as a technical partner to mission stakeholders, translating ambiguous needs into actionable engineering work and working backward from mission impact.
- Own end-to-end delivery: requirements gathering, architecture, implementation, testing, deployment, and ongoing support in production environments.
- Create clarity and momentum in high-stakes settings, removing blockers, simplifying complexity, and driving solutions forward with urgency.
- Capture ground-truth feedback from operators and incorporate it into TRM’s product direction, engineering practices, and long-term programs.
What we’re looking for:
- Background in cloud infrastructure, devops, or platform engineering using technologies such as Python, Kubernetes, ArgoCD, Terraform, and AWS
- Strong fundamentals in software engineering, with proficiency in at least one programming language and the ability to pick up others quickly.
- Demonstrated ability to learn new technologies rapidly (e.g., cloud platforms, AI/ML tools, distributed systems, data processing frameworks, or full-stack frameworks).
- Evidence of high ownership: you set goals, execute with urgency, and reliably deliver outcomes even in ambiguous or constrained environments.
- Ability to work directly with technical and non-technical stakeholders, communicate clearly, and build trust in mission-critical settings.
- Comfort working across the stack—whether writing backend code, tuning an ML model, configuring cloud infrastructure, or debugging a data pipeline.
- Desire to work on hard problems that have real consequences for national security and global financial integrity.
**Candidate must have an active TS/SCI clearance**
Learn about TRM Speed in this position:
- Rapid Issue Resolution. TRM Engineers identify and resolve critical onsite issues in minutes to hours, not weeks. We create virtual war rooms, implement fixes, and share lessons with both customer stakeholders and internal teams within 48 hours.
- Navigating Bureaucracy. We anticipate and address procedural hurdles, build trust with key stakeholders, and find alternative pathways to approvals. This keeps projects moving even in complex environments.
- Efficient Knowledge Transfer. Engineers document and share updates in real time, ensuring the entire team—onsite and remote—has full visibility into plans, blockers, and resolutions. Knowledge sharing s
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