Full Stack Engineer

Our aim
: to build real-world AI for safety- and privacy‑critical settings, specifically policing. For police to serve people in a transparent and consensus‑based way is demanding for many reasons. Lack of good interactive tools should not be among their challenges.

Focus of this role
:
Build and maintain the internal backbone connecting our API, event‑driven data pipelines, cloud infrastructure, and production ML models, spanning both AWS‑hosted and on‑premises deployments. Working with our head of integration in a multiple‑hat role spanning full stack engineering, infra, and ML systems.

We're looking for a senior engineer who has learned the hard way: someone with real production ownership under their belt, startup scar tissue, and the instinct to get in and build. You'll own on‑prem deployment end‑to‑end, contribute to our internal cloud infrastructure, and develop the broader product.

Backend:
Node, NestJS, Typescript, Drizzle.

AWS: ECS, Lambda, Kinesis, Aurora, S3, KMS, Cognito, Cloud Front, ALB, Guard Duty, Security Hub, Sage Maker.

Python for Lambda handlers, ML inference glue, data processing.

• Production deployment experience and infrastructure as code.
• Experience with regulated data (law enforcement, healthcare, legal tech, or government), including data classification, audit trails, and access control patterns in practice.

Apply through Linked In or directly here: (Use the "Apply for this Job" box below)./Q5399f6

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