
201 - 500 employees
Founded 2019
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
SaaS • Artificial Intelligence • B2B
Cast AI is a SaaS platform that automates Kubernetes application performance, infrastructure, and cost optimization for cloud-native teams. It connects to EKS/AKS/GKE and on-prem clusters with no code changes, uses predictive models and runtime signals to rightsize pods, scale nodes, optimize GPUs and Spot instances, and run approved self-healing runbooks to maintain reliability and reduce cloud spend. Cast AI targets platform, SRE, and FinOps teams and supports AI/LLM workloads, GPU optimization, and real-time workload placement and cost intelligence.
🔥 4 minutes ago
Where this job comes from
Posted on Cast AI's careers page, not through a job board
First seen by Remote Rocketship 4 minutes ago

201 - 500 employees
Founded 2019
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
SaaS • Artificial Intelligence • B2B
Cast AI is a SaaS platform that automates Kubernetes application performance, infrastructure, and cost optimization for cloud-native teams. It connects to EKS/AKS/GKE and on-prem clusters with no code changes, uses predictive models and runtime signals to rightsize pods, scale nodes, optimize GPUs and Spot instances, and run approved self-healing runbooks to maintain reliability and reduce cloud spend. Cast AI targets platform, SRE, and FinOps teams and supports AI/LLM workloads, GPU optimization, and real-time workload placement and cost intelligence.
• Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale • Write production Go services interacting with AWS, GCP, and Azure APIs for real-time cloud resource management • Own features end-to-end from design through implementation, testing, and production rollout • Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services • Collaborate with product and engineering teams on problems without textbook solutions • Work with time-series data, cloud provider APIs, and Kubernetes control plane internals • Contribute to product direction and backlog • Participate in on-call rotation for teams that require it
• Strong software engineering fundamentals, including clean abstractions, maintainable code, and justified architecture choices • Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language • Understanding of Kubernetes internals, including autoscaling and networking • Personally driven a complex project end-to-end • Experience with AI coding agents and agentic development workflows • Production experience with observability tooling • Experience with CI/CD and DevOps practices • Strong verbal and written English skills • Startup mindset: adaptable, proactive, and comfortable with ambiguity • Must reside in one of the specified eligible European countries • No visa sponsorship or work permit provided
• Flexible, remote-first global environment • Equity options • 10% of work time for personal projects or self-improvement • Learning budget for professional and personal development, including international conferences and courses • Annual hackathon • Team-building budget and company events • Equipment budget • Extra days off
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