Senior AI Enablement Engineer

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vCluster

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🏢 Enterprise

💰 $24M Series A on 2024-05

SaaS • 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.

📋 Description

• Design, build, and operate internal AI-powered engineering automation for PR reviews, releases, Slack-based tools, GitHub, and Linear • Design, ship, and operate MCP servers exposing vCluster systems to AI agents and developers • Extend platform services so AI agents can reliably discover and use them through structured interfaces, relevant context, shared memory, and clear authority boundaries • Partner with developers to identify manual toil and turn opportunities into reliable, production-ready workflows • Run agentic workloads on Kubernetes clusters and managed agent infrastructure • Handle secrets securely and maintain observability and usage administration for AI infrastructure

🎯 Requirements

• 5+ years as a platform engineer, DevOps engineer, or SRE • Real ownership of deployed services, beyond configuration and deployment work • Knowledge of CI/CD, Kubernetes, and Terraform • Ability to write and ship backend services, CLIs, or automation pipelines in any language • Track record of automating manual, repetitive work • Hands-on experience building automation directly against the OpenAI or Anthropic API • Security-minded approach to automation and infrastructure decisions • Bonus: Experience with Linear • Bonus: Experience building or contributing to an MCP server or deep knowledge of the MCP specification • Bonus: Experience with Spacelift or similar infrastructure-as-code automation • Bonus: Hands-on GPU infrastructure experience, including GPU servers, high-speed networking, storage, and Kubernetes-based workloads

🏖️ Benefits

• Competitive compensation package, including equity • Health, dental, vision, and life insurance • Insurance plans for employees and eligible dependents • Flexible working schedule • Workplace flexibility • Bonus compensation is offered • Equity is offered