Jobs · Engineering

Sr. Solutions Engineer

vCluster · United States · 1 wk ago
RemoteRemoteEngineering$140k–$180k/yrFull-time

About the role

As a Senior Solutions Engineer at vCluster, you are responsible for the technical strategy of large-scale enterprise engagements, working closely with Account Executives to navigate highly regulated industries. You will develop tailored narratives that address compliance, security, and operational concerns, and move beyond features to build formal Business Value Assessments (BVAs).

Responsibilities

  • Own the technical strategy for large-scale enterprise engagements.
  • Partner with Account Executives to navigate highly regulated industries, developing tailored narratives that solve deep-seated compliance, security, and operational concerns.
  • Mentor and coach Associate and Intermediate SEs, identifying gaps in qualification frameworks and designing PoV templates.
  • Represent field observations directly to Product and Engineering, influencing the product roadmap by translating enterprise customer pain into high-fidelity technical requirements.
  • Integrate AI-native workflows to automate discovery documentation, create complex multi-tenant architecture diagrams, and accelerate GTM delivery.

Requirements

  • At least 6 years of experience in a pre-sales or solutions engineering role, with a track record of positioning complex infrastructure or platform solutions to enterprise-level buyers.
  • At least 3 years of hands-on experience within the Kubernetes ecosystem, understanding control planes, namespaces, and cluster API, and explaining the trade-offs between legacy multi-tenancy and virtualization.
  • Cognitive flexibility to abandon legacy "spray-and-pray" demo tactics in favor of data-driven, highly targeted consultative selling.
  • Strategic thinking to anticipate market trends and identify complex entry points within the Fortune 2000.

Qualifications

  • A CKA or CKAD certification and active participation in the CNCF community or open-source ecosystem.
  • Deep experience navigating the technical hurdles of Financial Services, Healthcare, or Public Sector environments.
  • A modern growth mindset that thrives in environments rejecting manual sales methods and prefers a modern stack where automation, AI-driven discovery, and technical excellence are valued.

Skills

  • Proven experience in pre-sales or solutions engineering roles.
  • Hands-on experience with Kubernetes.
  • Ability to integrate AI-native workflows.
  • Strategic thinking and market trend anticipation.
  • Experience in navigating highly regulated industries.
  • Modern growth mindset and willingness to embrace automation and AI-driven discovery.

Benefits

  • Competitive Salary: $140K - $180K.
  • Premium-level insurance including health, dental, vision, and life insurance, with plans for you and eligible dependents (benefits vary depending on country).
  • Flexible working schedule and workplace flexibility.

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