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vCluster Labs

Manages Kubernetes multi-tenancy and cost optimization

Senior Partner Solutions Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Deep Kubernetes expertise, including cluster architecture, tenant isolation, and the cloud-native ecosystem, with the ability to master vCluster, vNode, and vMetal.
  • Experience working with OEMs, GSIs, resellers, or cloud providers in technical pre-sales, including co-selling, joint validation, and partner-led selling.
  • Solutions engineering experience in discovery, whiteboarding, demos, and proofs of concept that convert to production, with qualification discipline.
  • Experience creating enablement content, workshops, hands-on labs, or certification paths from scratch.
  • Ability to engage effectively with both Kubernetes engineers and CIOs and influence people without managing them.

Responsibilities

  • Design and validate joint reference architectures with strategic partners, including NVIDIA blueprints and AMD foundations through the vCluster, vNode, vMetal, and vCluster Platform layers.
  • Turn successful deployments into repeatable, sellable solutions with bills of material, deployment guides, demo environments, and benchmarks.
  • Build and deliver technical enablement for partner architects and sellers, including training partner Center of Excellence architects on the vCluster product family’s value proposition, cost, and performance.
  • Enable internal field solutions engineers to engage partners effectively and scale the partner motion without diverting the field from customers.
  • Own technical discovery, demos, and proofs of concept for partner-sourced opportunities in support of direct field ownership.
  • Run a disciplined proof-of-concept model with a validated business problem, named sponsor, clear success criteria, and defined production milestone.
  • Establish vCluster presence within partner Centers of Excellence, tied to named customers and qualified pipeline rather than marketing labs.
  • Build technical credibility across 6–8 priority partners and cultivate executive sponsors and technical champions without depending on a single contact or business unit.

Desired Qualifications

  • Experience in the NVIDIA ecosystem, including DGX, Dynamo, GPU Operator, AI Enterprise, NVIDIA certifications, or knowledge of NVIDIA blueprints and partner validation.
  • Depth in AI infrastructure, including GPU infrastructure, storage, and networking for AI factories and GPU clouds; Weka- and VAST-class storage literacy is a plus.
  • Experience building or supporting GPU-as-a-Service or Kubernetes-as-a-Service platforms at AI cloud providers or service providers.

About the Company

vCluster Labs

Manages Kubernetes multi-tenancy and cost optimization

vCluster Labs builds open-source tools that make Kubernetes easier to run at scale. Their projects help platform engineers manage multi-tenant Kubernetes clusters, optimize resource usage, and cut cloud costs so environments stay stable while growing. The products act as building blocks that teams can combine to enable multi-tenancy, efficient resource planning, and scalable cluster management. With over 100 enterprises using their solutions, vCluster’s goal is to help teams move faster, spend less on infrastructure, and keep platform stacks reliable.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Stockholm, ME
Founded
Not listed

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