
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.
🕒 6 days ago
Where this job comes from
Posted on Cast AI's careers page, not through a job board
First seen by Remote Rocketship 6 days ago
Still open on Cast AI's site. Checked 11 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 systems behind the AI assistant, including agent flows, context retrieval, and data connections for reasoning over 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 data foundations for agents • 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 agent 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 architecture justification • Generalist experience debugging distributed systems, designing authentication flows, or tuning agent behavior • Production experience with Go is 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 concepts • Personally driven a complex project end-to-end • Hands-on 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 • Adaptable, proactive, and comfortable with ambiguity • Must reside in one of: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, or Ukraine • No visa sponsorship or 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 work time for 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 for work-life balance
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🕒 October 30
Lead Engineer building evaluation, observability, and diagnostic infrastructure for Circle’s AI-powered platform. Leading the AI Quality team while improving agent reliability, cost, and performance.
🕒 October 27
Senior Full-Stack AI Engineer building LLM-powered recruiting platforms for Inallmedia.com. Developing AI agents, Python services, and Salesforce/ATS integrations for global staffing clients.
🗣️🇳🇱 Dutch Required
🕒 October 9
Senior Customer AI Engineer helping Nebius customers move AI workloads from proof-of-concept to production on Nebius’s cloud platform. Improving deployment performance, reliability, scalability, and cost efficiency.
🕒 September 30
Senior AI Engineer building secure internal AI tools for refurbed, Europe’s refurbished-products marketplace. Owning back-end services, AI integrations, governance, and adoption across the company.
🕒 September 11
Content & AI Lead owning strategy, SEO, editorial operations and AI workflows for WIS’s UK sports betting portal. Driving traffic, conversions, revenue and profitability.