Full-Stack Engineer (Backend-Focused)
Ironflow AI
About Ironflow AI We are building the world's first AI-native ERP for defense tech - a system that thinks, reasons, and acts alongside the people who build, protect, and defend our way of life. We're not patching old ideas with a flashy new user interface. We're starting fresh - reimagining how software supports operations at the cutting edge of the defense tech revolution. Built by veterans, engineers, and operators who've lived the pain of legacy systems. Ironflow combines natural language, intelligent agents, and real-world rigor to empower the frontline with clarity and speed. If you're bold, decisive, and obsessed with impact - join us. This is where curiosity meets purpose. Why This Role Matters As a backend engineer, you'll help shape the core logic that powers real-time, intelligent workflows across manufacturing, inventory, and supply chain. Your work will unlock faster decisions, tighter coordination, and adaptive operations for the people driving the defense tech revolution. What You'll Own
- Architecting and implementing backend services in Python with PostgreSQL
- Designing and exposing GraphQL APIs to support AI agents and real-time frontends
- Building secure, scalable models for production, procurement, and inventory
- Optimizing database performance and ensuring system reliability at scale
- Contributing to CI/CD pipelines, Docker-based environments, and deployment workflows
- Enabling real-time orchestration across human and AI agents
- 5+ years of backend or full-stack experience with production systems
- Mastery of Python, FastAPI, PostgreSQL, and GraphQL
- Experience designing modern APIs with GraphQL
- A track record of owning features end to end - from design to deployment
- Comfort with ambiguity, fast iteration, and cross-disciplinary problem-solving
- Bonus: Familiarity with FedRAMP, ITAR/DFARS, and secure multi-tenant architectures
- Bonus: Experience with WebSockets, real-time systems, and frontend debugging in React
Vacancy posted 4 days ago
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