GPUaaS Platform Engineer: Kubernetes & AI Ops

Veriipro; Irving (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Veriipro in Irving, TX is seeking a GPUaaS Kubernetes Platform Engineer to design, operate, and support scalable GPU-enabled cloud infrastructure. You will manage Kubernetes and OpenShift clusters to enable AI/ML workloads, optimize GPU resource utilization, and ensure reliability of high-performance computing environments.

You will build and maintain CI/CD pipelines for GPU-based applications, automate platform operations, monitor utilization, and collaborate with AI/ML and DevOps teams to

Qualifications

• Hands-on experience administering Kubernetes clusters and OpenShift environments.
• Experience operating GPU-enabled Kubernetes platforms for AI/ML workloads.
• Proficient in designing and implementing CI/CD pipelines for cloud platforms.
• Strong knowledge of Linux system administration, networking, and storage.
• Ability to create runbooks and operational documentation.

Responsibilities

• Operate and maintain Kubernetes and OpenShift GPU platforms for AI/ML workloads.
• Configure and manage GPU-enabled infrastructure, including GPU scheduling and resource optimization.
• Develop and support GPUaaS platforms and scalable cloud infrastructure.
• Implement CI/CD pipelines for GPU-based applications and infrastructure.
• Ensure platform scalability, availability, and performance with monitoring and troubleshooting.
• Collaborate with AI/ML and DevOps teams to deliver enterprise-grade GPU services.
• Create dashboards, runbooks, and technical documentation.

Skills

Kubernetes administration

OpenShift

GPU workloads

CI/CD practices

Linux systems

Networking

Monitoring

Documentation

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Ansible

GPU operators

Job description

Veriipro in Irving, TX is seeking a GPUaaS Kubernetes Platform Engineer to design, operate, and support scalable GPU-enabled cloud infrastructure. You will manage Kubernetes and OpenShift clusters to enable AI/ML workloads, optimize GPU resource utilization, and ensure reliability of high-performance computing environments.

You will build and maintain CI/CD pipelines for GPU-based applications, automate platform operations, monitor utilization, and collaborate with AI/ML and DevOps teams to