
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.
• Own features end-to-end: design, implementation, testing, and production rollout • Develop with observability in mind, identify bottlenecks, and optimize performance • Diagnose p99 latency issues using query profiles and flame graphs • Design datastores and distributed systems behind the inference API • Maintain reliability as usage scales from solo developers to large enterprises • Build billing, usage metering, and role-based controls • Own infrastructure, datastores, analytics, observability, and CI/CD pipeline • Collaborate directly with product and engineering teams on complex problems
• Production experience with Go or TypeScript is strongly preferred; candidates without either should demonstrate strong systems programming skills in a comparable language • Strong debugging, optimization, and performance-tuning skills, including query profiling, index design, and database performance tuning beyond ORM usage • Hands-on experience with AWS, GCP, or Azure and Kubernetes is a strong plus • Experience with Prometheus, Grafana, OpenTelemetry, CI/CD, and DevOps practices • Adaptable, proactive, and comfortable with ambiguity • Strong English skills, verbal and written • Personally driven a complex project end-to-end • No visa sponsorship/work permit provided • Background check may be conducted at the final stage of recruitment
• 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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