Senior GPU Cloud K8S Expert
Job Summary
To support the development of an AI-operated GPU cloud, the full-time Senior GPU Cloud K8S Expert will design, deploy, and manage production Kubernetes clusters optimized for GPU workloads while working remotely from San Jose, CA or Austin, TX.
Key responsibilities
- Manage production Kubernetes clusters for GPU workloads, ensuring topology-aware scheduling and multi-tenant isolation
- Implement and oversee automated provisioning and lifecycle management for Bare-Metal as a Service (BMaaS) environments
- Develop and maintain monitoring and incident management systems to ensure cluster availability and performance
Required qualifications
- 5+ years of experience in Kubernetes operations, with at least 2 years focused on GPU workloads
- Deep understanding of Nvidia GPU operator and GPU scheduling within Kubernetes
- Experience building multi-tenant Kubernetes platforms with strong isolation guarantees
- Proficiency in Terraform, Helm, and GitOps workflows
- Strong programming skills in Go or Python for operator/CRD development
Complete Job Description
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