Engineering Manager

Why the Kubernetes Automation Domain?

Kubernetes Automation is Cast AI's core: a family of product teams that turns optimization into real infrastructure. Together, they own the full loop — deciding which nodes to run and where, provisioning them across EKS, GKE, AKS, and our own Cast AI Anywhere, optimizing the workloads on top, and reshaping it all continuously as conditions change. No manual tuning: automation makes the call and makes it happen.

The scale is the point. When demand spikes, the platform brings up 15,000 nodes in a single cluster and gets every pod scheduled in under 45 minutes — and tears a cluster of that size back down in under 15 minutes — across multiple clouds at once, mixing instance types and spot capacity in a single operation. Across a fleet of thousands of customer clusters, our teams make the same high-stakes Kubernetes decisions — add this node, drain that one, move that workload, is this change safe — thousands of times a day, and each one has to land cleanly.

The problems sit at the intersection of Kubernetes internals and cloud-provider behavior, and much of the territory is undocumented. One team might be writing scaling algorithms, another reverse-engineering managed control planes, another migrating running containers between nodes without disruption. The common thread: deep Kubernetes knowledge, strong infrastructure fundamentals, and the judgment to own high-stakes automation in production. If you have that, you can lead any of these teams — you'll be matched with the team that best fits your strengths and interests during the hiring process.

Role overview

We are looking for a hands-on Engineering Manager to join one of our Kubernetes Automation teams. It is a hybrid role: you will manage a team and spend at least half your time in the product code.

Responsibilities as an Engineering Manager

You own product development execution.

• Lead, mentor, and grow a team of talented software engineers
• Collaborate closely with the Product Owner and stakeholders to align on requirements and roadmaps
• Ensure quality, scalability, and resilience in all deliverables
• Foster a culture of continuous improvement, innovation, and technical excellence
• Be the role model and champion of Cast AI core values

Responsibilities as a Software Engineer

You will work in a highly skilled team across the full development lifecycle.

• Take on scaling challenges at fleet level
• Participate in feature brainstorming, requirement gathering, and solving customer needs
• Design and architect software for scalability, maintainability, and performance