Senior Solutions Engineer

vCluster Labs

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Own the technical strategy for large-scale enterprise engagements and lead the technical win for complex deals
  • Partner with Account Executives to navigate highly regulated industries and develop tailored technical narratives
  • Build formal Business Value Assessments (BVAs) linking infrastructure consolidation to cost savings and developer velocity
  • Integrate AI-native workflows to automate discovery documentation and architecture diagrams
  • Mentor Associate and Intermediate Solutions Engineers and design scalable PoV templates
  • Represent field observations to Product and Engineering to influence the product roadmap

Requirements

  • At least 6 years of experience in a pre-sales or solutions engineering role
  • At least 3 years of hands-on experience within the Kubernetes ecosystem
  • Deep understanding of control planes, namespaces, and cluster API
  • Proven track record of positioning complex infrastructure or platform solutions to enterprise buyers
  • Ability to conduct data-driven, consultative selling

Preferred Qualifications

  • CKA or CKAD certification
  • Active participation in the CNCF community or open-source ecosystem
  • Experience navigating technical hurdles in Financial Services, Healthcare, or Public Sector environments

Benefits

  • Competitive salary and equity
  • Platinum-level health, dental, vision, and life insurance
  • Flexible working schedule and workplace flexibility

About the Company

vCluster Labs is a venture-backed startup pioneering Kubernetes virtualization for the AI era. We provide the leading platform for operating GPU infrastructure, enabling AI Cloud providers and AI factories to maximize ROI and accelerate time to value.

Skills & tools

KubernetesCloud

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 016+ years pre-sales experience
  2. 023+ years Kubernetes experience
  3. 03Knowledge of control planes and namespaces
  4. 04Enterprise infrastructure positioning
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