Senior Backend Platform Engineer; Distributed Systems

Requirements

• 4+ years building production backends in modern Python, with deep FastAPI (or equivalent async framework) experience
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• Proven expertise in ZeroMQ, NATS, Kafka, or similar high-throughput messaging systems
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• Hands-on with Postgres/PostGIS and Redis in performance-critical workloads
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• Cloud-native chops—Docker, Kubernetes, and one major provider (AWS, GCP, Azure, or Gov Cloud)
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• Active Secret clearance or eligibility to obtain one
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• (Desirable) C++ or Rust skills for bridging high-performance simulation modules
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• (Desirable) Hardened services for FedRAMP / STIG compliance
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• (Desirable) Observability mindset—Prometheus, Grafana, Open Telemetry
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• (Desirable) TS/SCI clearance

• Help redefine how the DoD makes multi-billion-dollar force-design decisions
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• In this role, you'll fuse physics-driven simulation, interactive computing, and verified AI code-generation to create next-generation wargaming platforms
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• If building ultra-low-latency APIs, taming high-volume geospatial data, and leading with clean, production-ready Python gets you fired up, let’s talk
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• Own the service layer—design, build, and scale FastAPI micro-services and lightning-fast ZeroMQ messaging pipelines running in Kubernetes and bare-metal clusters
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• Wrangle data at speed & scale—shape and query multi-TB Postgres/PostGIS datasets, orchestrate Redis for sub-millisecond state, and keep everything rock-solid under bursty load
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• Glue the stack together—expose crisp, well-versioned REST & Web Socket endpoints for the frontend crew and simulation kernel
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• Ship continuously—automate CI/CD, observability, and security hardening to DoD standards; push to prod with confidence
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• Lead by doing—drive code reviews, mentor teammates, and set the standard for test coverage and documentation