Staff DevOps Engineer

At Cube, we're redefining how organizations deliver, consume, and automate data and analytics across teams, tools, and AI agents. Our mission is to enable Agentic Analytics, where AI agents work alongside humans on a shared semantic foundation

If you're fascinated by building core data and AI infrastructure, the kind that powers analytics at the world's most advanced technology companies, but want the agility and ownership of a startup, Cube is where you'll thrive.

With 19,000+ GitHub stars and 13,000+ community members, Cube is trusted by 400+ companies, including Maersk, Kimberly-Clark, Freshworks, Patagonia, Webflow, Brex, Deel, Tubi, Walmart, and Drata. Our platform empowers AI agents with a universal semantic foundation, enabling autonomous analytics at scale while maintaining consistency, security, and performance across BI tools, spreadsheets, and embedded applications.

As a Staff DevOps Engineer at Cube, you will set the technical direction for the infrastructure that runs Cube Cloud and the agentic analytics platform behind it. You'll own complex, high-impact initiatives end-to-end, from architecture to rollout, partnering with engineering leaders across the company and mentoring other engineers along the way.

You will collaborate closely with engineering, security, and core platform teams to evolve our multi-cloud architecture, harden our agentic analytics runtime for production, and turn the toughest operational challenges into elegant, automated systems.

Some of the problems you'll be working on

Cube Cloud multi-cloud PaaS infrastructure.

Cube Cloud delivers our agentic analytics platform as a managed service at production scale across AWS, GCP, and Azure. It's a sophisticated cloud-in-cloud architecture serving real-time analytics and AI workloads for enterprise customers, and it comes with a wide range of infrastructure challenges around isolation, performance, cost, and global availability that you'll h...