Jobs at vCluster

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 design and implementation of a production-grade LLM inference platform: deploy and serve models on GPU infrastructure, optimize latency and cost with quantization/batching/caching/routing, build infrastructure in Python or Golang, operate serving frameworks (vLLM, SGLang, TensorRT-LLM), and own the inference roadmap working with CTO and Product.

Lead end-to-end application and product security for a Kubernetes-based multi-tenant platform. Perform deep security reviews of Go services, Kubernetes controllers, and frontends; lead threat modeling; integrate automated security checks into CI; manage vulnerability lifecycle; develop security-related features; and train developers on secure coding and attack vectors.

Lead product direction for vMetal, defining specs and tradeoffs, validating alpha/beta builds on bare metal, engaging platform-engineer customers, positioning the product in the GPU/bare-metal ecosystem, and aligning engineering, sales, and GTM teams.

Own full-cycle hiring for sales, marketing, and customer-facing GTM roles across EMEA and APAC. Build regional GTM recruiting practices, proactively source senior commercial talent, maintain ATS data integrity (Ashby), champion structured interviews and scorecards, and partner with GTM leaders on compensation and closing strategy while ensuring an excellent candidate experience.

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.