Staff Full Stack Engineer

About Us Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone.

This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About The Team

You'll join the fullstack and WMS integration teams at a pivotal moment: live systems, real enterprise customers, and a platform being deliberately re-engineered from growth-era tradeoffs into a durable, enterprise-grade foundation.

Requirements

into dependable, well-architected systems.

into shipped, scoped engineering work.

to production at high SDLC standards (testable, observable, well-scaled, tuned DB access). Decompose overloaded APIs into well-bounded services and introduce data-access abstractions that control DB connections and improve scalability. , PostgreSQL upgrades), stand up production observability metrics and alerts, and reduce delivery friction with CI/CD and AI-assisted delivery.

into clear, well-scoped engineering. Mentor senior engineers and raise the bar on engineering practices across backend and infrastructure.

About The Role

Most staff engineering roles ask you to choose between architecture and code, or between engineering and customers. This one doesn't. As Staff FullStack Engineer , you'll set the technical direction for how Gather AI's platform integrates with the world, while staying hands-on with the code, infrastructure, and Kubernetes clusters that run it.

What You'Ll Do

Architect and build across distributed systems, APIs, integrations, and infra shipping your own code with performance, fault-tolerance, and horizontal scale as first-class design concerns. Own the platform's non-functional bar by setting explicit targets for scalability, reliability, availability, latency, performance, security, and observability, and holding the full stack to them.