Founding Full-Stack Engineer (Backend-Focused)

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 founding 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 Django and 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

What You Bring

• 5+ years of backend or full-stack experience with production systems
• Mastery of Python, Django, PostgreSQL, and GraphQL
• Experience designing secure APIs with clear access control
• 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, or secure multi-tenant architectures
• Bonus: Experience with WebSockets, real-time systems, or frontend debugging in React

How We Work

We value autonomy, urgency, and ownership. Everyone at Ironflow moves fast, solves real problems, and holds a high bar for craft. We expect you to lead — not just follow — and to build systems that stand up to real-world complexity while staying clean and maintainable.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.