Platform Engineer

Responsibilities

• 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.

Requirements

• 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-Haves

• Experience in FedRAMP, IL, HIPAA, or other regulated environments.
• Open-source platform or infrastructure work.

Stack

• TypeScript, SvelteKit, Cloudflare Workers, Kubernetes, Postgres, Trigger.dev, Chainguard, OpenTelemetry, AWS GovCloud