vCluster Labs
vCluster Labs builds open-source and commercial tools that simplify Kubernetes multi-tenancy and platform operations for platform engineering and SRE teams. Its products include vCluster (virtual clusters for tenant isolation), DevPod, JsPolicy, and an Infrastructure Tenancy Platform for AI with an NVIDIA-validated DGX reference architecture. Privately held and headquartered in San Francisco, it reports 100+ enterprises using its solutions across EKS, AKS, GKE, and k3s environments.
Open Positions at vCluster Labs
5 open positions
Lead product security engineering for Kubernetes-based infrastructure software, combining hands-on penetration testing with vulnerability response, threat modeling, and secure design reviews. This remote-first role offers the opportunity to shape security practices across a fast-growing open-source infrastructure company.
Own the end-to-end quality strategy for vCluster Labs, designing scalable automation across backend services and UI while influencing product architecture and testability. This senior role combines hands-on framework development, exploratory testing, and CI/CD integration in a fast-moving remote startup.
Lead end-to-end GPU infrastructure deployments for AI cloud and AI Factory customers, taking environments from bare-metal GPU nodes to validated Kubernetes and vCluster platforms. This customer-facing role combines deep infrastructure troubleshooting, pre-sales proof-of-value work, automation, and reusable deployment playbooks.
Customer Success Engineer responsible for leading technical customer outcomes after the sale, from onboarding and architecture through adoption, renewal, and expansion. This customer-facing role combines Kubernetes and cloud-native technical expertise with strategic customer success and commercial ownership.
Senior Solutions Engineer leading the technical strategy and technical win for complex enterprise infrastructure deals. The role combines consultative pre-sales architecture, business value engineering, customer advocacy, and mentorship in the Kubernetes and AI infrastructure space.