Kubernetes AI Platform Engineer

CDW group; United States; Remote; USD 78,000 - 108,000; Full time

Job summary

CDW is seeking an AI Infrastructure Consulting Engineer – Orchestration & Platform Engineering to implement, integrate, and support platforms that schedule, govern, and operate enterprise AI workloads across Kubernetes-based environments. This client-facing, billable role ensures solutions are delivered as designed to the client’s satisfaction.

The role requires hands-on Kubernetes experience, Run:ai, ClearML, Slurm, NVIDIA components, and strong Linux scripting.

Qualifications

• Bachelor’s degree in a relevant field or equivalent.
• 3 years’ experience delivering complex platform, infra, or cloud-native solutions OR 7 years’ experience in similar roles.
• Hands-on experience administering Kubernetes or enterprise Kubernetes distributions in production.
• Experience with containers, registries, Helm, operators, storage classes, ingress, identity integration, secrets, and RBAC.

Responsibilities

• Manage time and expenses per Statement of Work and escalate scope/schedule/budget issues early.
• Implement and configure AI workload orchestration, scheduling, resource governance, and platform services across customer environments.
• Deploy and integrate Kubernetes, Run:ai, ClearML, Slurm, NVIDIA software components, registries, observability, and platform services.
• Perform platform discovery, installation, configuration, validation, upgrades, troubleshooting, and knowledge transfer.
• Collaborate with security, networking, compute, storage, application, and data teams to resolve cross-platform dependencies.
• Provide input for SOWs, ROMs, LOEs, implementation plans, and solution validation.
• Create and maintain project documentation, as-built configs, test plans, logs, and handoff materials.

Skills

Kubernetes admin

Containers & Helm

GPU scheduling

Run:ai

ClearML

Slurm

NVIDIA components

Linux scripting

Git-based workflows

CI/CD

Education

Bachelor’s degree in a relevant field

Tools

Kubernetes distributions

Registries

Job description

CDW is seeking an AI Infrastructure Consulting Engineer – Orchestration & Platform Engineering to implement, integrate, and support platforms that schedule, govern, and operate enterprise AI workloads across Kubernetes-based environments. This client-facing, billable role ensures solutions are delivered as designed to the client’s satisfaction.

The role requires hands-on Kubernetes experience, Run:ai, ClearML, Slurm, NVIDIA components, and strong Linux scripting.