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. Tech stack Backend: Node, NestJS, Typescript, Drizzle. Frontend: React, Vite, Tanstack, Zustand. Databases: PostgreSQL, Redis/Valkey, Vector databases. IaC: Pulumi Typescript. AWS: ECS, Lambda, Kinesis, Aurora, S3, KMS, Cognito, CloudFront, ALB, GuardDuty, SecurityHub, SageMaker. Python for Lambda handlers, ML inference glue, data processing. Must-have 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.