
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, build, and operate CI/CD pipelines used by every engineering team • Build and maintain observability and monitoring tooling for production debugging • Build local development environment tooling for production-like conditions • Identify and resolve infrastructure friction at its root • Debug complex issues spanning CI/CD, observability tooling, Kubernetes, and cloud infrastructure • Contribute to the platform roadmap and backlog • Build and maintain a paved road for Cast AI engineers to deploy and operate services • Support internal engineering teams through platform tools serving hundreds of engineers and dozens of services
• Strong software engineering fundamentals, including clean abstractions, maintainable code, and architectural justification • Production experience with Go strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language • Experience building and operating platform engineering systems, including most of CI/CD and GitOps systems, infrastructure as code, container orchestration, observability and monitoring tooling, and cloud platforms • Experience with AI coding agents and agentic development workflows • Personally driven a complex project end-to-end • Strong debugging, optimization, and performance-tuning skills • Strong English skills, verbal and written • Startup mindset; adaptable, proactive, and comfortable with ambiguity • Participation in on-call rotation for teams that require it • No visa sponsorship or work permit provided • Nice to have: Kubernetes operators, Helm chart authoring, admission webhooks • Nice to have: Internal developer platform design, including golden paths, self-service tooling, and service catalogs • Nice to have: Local development environment tooling such as devcontainers, Tilt, or Skaffold • Nice to have: Kubernetes or cloud-native OSS contributions
• Separate compensation for on-call participation (passive coverage and active interventions) • 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 • Travel costs covered for onboarding in Vilnius
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