WHAT YOU'LL DO
Build and scale the ingestion, storage, and search infrastructure behind 10,000+ government data sources: Postgres with logical replication, object storage on S3 and R2, pipelines that run continuously.
Ship one codebase to three security environments: commercial SaaS on Cloudflare Workers, self-hosted Kubernetes in AWS GovCloud for FedRAMP High, and IL5 deployments — including tooling we've built ourselves, like forks of Supabase and Trigger.dev for restricted networks.
Build compliance into the platform itself: automated CVE remediation that took 10,000+ CVEs across 20+ container images to zero in two weeks, secure-by-default services, auditable CI/CD.
Build infrastructure where AI agents are first-class users: agentic harnesses that support how billions in government contract volume gets won and managed, automated remediation loops, and deployment tooling used by engineers and agents alike.
Work with our deployment team to integrate customer data, including data underpinning America's warfighting capabilities, and support thousands of users at enterprises managing billions in contracts.
Our stack: TypeScript, SvelteKit, Cloudflare Workers, Kubernetes, Postgres, Trigger.dev , Chainguard, OpenTelemetry, AWS GovCloud
WHAT YOU BRING
5+ years of experience in backend, platform, or infrastructure engineering roles
Experience building platform or data infrastructure that other engineers depend on.
Depth across layers: data modeling and Postgres internals, Kubernetes in production, backend services in TypeScript or Python.
You've taken a system through real scale — a migration, a cost cliff, a throughput wall.
You've built and broken infrastructure to understand how it works, and you bring a security-first mindset to sensitive environments.
You use AI tools heavily in your own work and know where they're reliable.
Nice to have: experience in FedRAMP, IL, HIPAA, or other regulated environments; open-source platform or infrastructure work.