Jobs at vCluster

Own post-sales customer outcomes through onboarding, success planning, technical guidance, proactive engagement, renewals, and expansion. Lead architecture workshops, platform installations, integrations, operational readiness reviews, executive business reviews, and adoption programs. Translate Kubernetes and cloud-platform adoption into business value, identify risks and growth opportunities, and advocate for customer needs internally. Partner with Account Executives, Solutions Engineers, Product, and Engineering to drive measurable customer success.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Lead product direction for cloud-native GPU infrastructure and Kubernetes virtualization. Translate business priorities into technical specs, run alpha/beta validations, engage platform-engineer customers, define market positioning, and align engineering, sales, and marketing to ship and support scalable multi-tenant GPU platforms.

Lead architecture and execution of vNode runtime integration with containerd and the kubelet, define and test namespace-based isolation primitives, mentor engineers, run design reviews, operate internal tenant clusters, and represent the project in upstream communities and conferences.

Lead architecture and backend development for the vCluster platform by designing and implementing Kubernetes-native solutions in Go, owning features end-to-end, contributing to open-source, and solving deep systems challenges around multi-tenancy, isolation, and GPU infrastructure.

Lead rapid prototyping, architectural research, and complex technical projects for a Kubernetes virtualization platform. Partner with the CTO to shape product direction, integrate new technologies, and occasionally engage customers to translate needs into engineering solutions. Provide technical leadership beyond coding and mentor the team.

Architect and build core backend components of the vCluster platform by working deeply with Kubernetes internals. Write high-performance Go code, take end-to-end ownership from design to release, contribute to open-source projects, and solve complex systems and multi-tenancy problems for GPU and Kubernetes-based infrastructure.