
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.
🔥 14 minutes ago
Where this job comes from
Posted on Cast AI's careers page, not through a job board
First seen by Remote Rocketship 14 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 backend services in Go that teams and customers depend on • Own features end-to-end from design through implementation, testing, and production rollout • Debug complex production issues involving security-, money-, or trust-critical flows • Collaborate with product and engineering teams on problems without textbook solutions • Contribute to product direction and backlog, shaping what gets built next • Work on authentication, authorization, SSO, billing, audit trails, notifications, feature flags, cloud pricing, Spot availability, and reporting systems
• Strong software engineering fundamentals, including clean abstractions, maintainable code, and architectural reasoning • Production experience with Go strongly preferred; comparable strong systems programming skills accepted without Go • Experience building or operating trust-critical systems at scale, such as authentication/authorization, billing, or financial/accounting-adjacent data • Understanding of API design best practices, including versioning, backward compatibility, authentication, idempotency, and asynchronous patterns • Strong debugging, optimization, and performance-tuning skills, including query profiling, index design, and database performance tuning beyond ORM usage • Experience operating and optimizing high-load systems • Hands-on Kubernetes experience, including pods, services, deployments, and deploying or debugging on a cluster • Experience with AI coding agents and agentic development workflows • Personally driven a complex project end-to-end • Strong verbal and written English skills • 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: multi-tenant identity system design; SAML, OIDC, and SCIM; billing, audit-trail, notification, or feature-flag systems; AWS, GCP, or Azure pricing/billing APIs; Spot instance availability; high-cardinality time-series systems; Kubernetes internals; CI/CD and DevOps; Prometheus, Grafana, OpenTelemetry
• 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 • Company-covered travel costs to Vilnius for onboarding
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