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województwo mazowieckie, Polska
Remote only
Not Available
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn’t work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We’re headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we’re just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.
KUBE is where Cast AI’s optimization stops being a recommendation and becomes real infrastructure. The Optimization Engine decides what to run and when; KUBE makes it happen — provisioning the compute, networking, and storage under every node, across EKS, GKE, AKS, and our own Cast AI Anywhere, and reconciling all of it continuously.
The scale is the point. When demand spikes, KUBE 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. That is provisioning velocity the hyperscalers’ own tooling doesn’t deliver on its own, and KUBE owns the execution of every node in it. Across a fleet of thousands of customer clusters, the platform makes the same high-stakes Kubernetes decisions — add this node, drain that one, is this change safe — thousands of times a day, and this team is accountable for each one landing cleanly.
The problems are genuinely hard, and largely undocumented:
Each sprint surfaces new hurdles at the intersection of Kubernetes internals and cloud-provider behavior. If you want ownership of a system operating at real scale, with room to shape both the architecture and the team building it, this is that role.
We are looking for a hands-on Engineering Manager to join our Product team. It is a hybrid role: you will manage a team and spend at least half your time in the product code.
You own product development execution.
You will work in a highly skilled team across the full development lifecycle.
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
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