
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.
🔥 7 minutes ago
Where this job comes from
Posted on Cast AI's careers page, not through a job board
First seen by Remote Rocketship 7 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 AI assistant systems, including agent flows, context retrieval, and data connections for live Kubernetes infrastructure • Build and evolve a public, permission-aware MCP server with curated tools, identity, audit, and safety gates • Develop and maintain cloud connectivity across AWS, GCP, and Azure and the agents’ data foundations • Write production Go services interacting with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time • Own features end-to-end from design through implementation, testing, and production rollout • Debug agent errors, cross-cloud permission edge cases, and large-scale data freshness issues • Build quality harnesses with evaluations, telemetry, and feedback loops to prevent regressions • Contribute to product direction and backlog • Participate in the team’s on-call rotation
• Strong software engineering fundamentals, including clean abstractions, maintainable code, and architectural reasoning • Generalist comfortable debugging distributed systems, designing authentication flows, and tuning agent behavior • Production experience with Go strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language • Experience building or operating large-scale SaaS platforms in production, including multi-tenant systems and high-volume environments • Solid understanding of Kubernetes, including autoscaling, scheduling, and networking • Personally driven a complex project end-to-end • Hands-on experience with AI coding agents and agentic development workflows • Production experience with observability tooling • CI/CD and DevOps practices experience • Strong English skills, verbal and written • Startup mindset: adaptable, proactive, and comfortable with ambiguity • Experience with agentic systems such as MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, or evaluation frameworks • Deep hands-on experience with AWS, GCP, or Azure, including IAM, compute, networking, and APIs • Experience with LLM application quality, evaluations, prompt engineering at scale, and latency and cost optimization of agent loops • Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design • Deep knowledge of EKS, GKE, or AKS internals • Kubernetes or cloud-native OSS contributions • Must reside in one of the listed European countries • No visa sponsorship/work permit provided
• Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) • Equity options • Flexible, remote-first global environment • 10% of your work time on personal projects or self-improvement • Learning budget for professional and personal development, including access to international conferences and courses • Annual hackathon • Team-building budget and company events • Equipment budget • Extra days off • Work on genuinely new problems and production AI platforms • Real users and rapid delivery to hundreds of organizations
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🕒 October 21
Senior Product Manager shaping Wrike’s AI platform, MCP, Skills, and GraphQL ecosystem. Guiding secure AI-agent integrations, marketplace distribution, and enterprise work automation.
🕒 October 16
DevOps/SRE Engineer securing Gcore’s AI inference infrastructure and Everywhere AI product. Building compliant CI/CD pipelines, hardened containers, and secure Kubernetes deployments.
🕒 June 22
Senior Fullstack Engineer developing AI-driven solutions for JobHire.AI, taking ownership of products and metrics. Collaborating closely with product to drive feature success and user engagement.
🗣️🇷🇺 Russian Required