
51 - 200 employees
âïž SaaS
đą Enterprise
đ° $24M Series A on 2024-05
SaaS âą Enterprise
vCluster is a Kubernetes virtualization product (from loft-sh) that creates virtual Kubernetes clusters on top of existing Kubernetes infrastructure. It enables dedicated, multi-tenant or private-node clusters for use cases like internal platform standardization, hybrid Kubernetes deployments, sovereign or dedicated customer environments, AI cloud providers and distributed inference. vCluster is positioned as a tooling/product solution for enterprises operating Kubernetes at scale, offering managed features, releases and integrations for internal K8s platforms and cloud-native workflows.
đ„ 0 minutes ago
đȘđș Europe â Remote
đ” âŹ60k - âŹ125k / year
â° Full Time
đ Senior
đ Backend Engineer
đ» Ghost score 9%
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51 - 200 employees
âïž SaaS
đą Enterprise
đ° $24M Series A on 2024-05
SaaS âą Enterprise
vCluster is a Kubernetes virtualization product (from loft-sh) that creates virtual Kubernetes clusters on top of existing Kubernetes infrastructure. It enables dedicated, multi-tenant or private-node clusters for use cases like internal platform standardization, hybrid Kubernetes deployments, sovereign or dedicated customer environments, AI cloud providers and distributed inference. vCluster is positioned as a tooling/product solution for enterprises operating Kubernetes at scale, offering managed features, releases and integrations for internal K8s platforms and cloud-native workflows.
âą Work intimately with Kubernetes internals to advance container orchestration âą Write high-performance, resilient Go code powering the vCluster platform âą Own feature development end-to-end, from technical design through release âą Engage with the community and contribute to open-source projects âą Define scalable tenancy models for isolation and resource sharing beyond namespaces âą Tackle complex engineering challenges requiring deep systems architecture understanding âą Build and maintain infrastructure supporting AI cloud providers and AI factories on GPU infrastructure
âą Deep expertise in Kubernetes internals, including architectural patterns, networking, and storage âą Strong programming skills in Go âą Ability to translate Kubernetes knowledge into clean, efficient Go code âą Active GitHub projects, experiments, or open-source contributions demonstrating a passion for building âą Highly technical and self-driven; able to identify and solve problems autonomously âą Experience working in a high-growth environment âą Comfortable with ambiguity and eager to make an impact âą Bonus: Contributions to the Kubernetes project, including documentation updates, pull requests, or participation in SIGs âą Bonus: Experience at an early-stage organization with autonomous work
âą Competitive compensation package including equity âą Health, dental, vision, and life insurance for you and eligible dependents (benefits vary depending on country) âą Flexible working schedule âą Workplace flexibility âą Remote-first culture
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