AI Infrastructure Consulting Engineer – Orchestration & Platform
CDW Corporation3 days ago
Remote, United StatesMid Level
Base Salary
$78k - $108k/yr
Responsibilities
- Manage time and expenses against Statement of Work expectations and escalate scope, schedule, or budget risks.
- Implement and configure AI workload orchestration, scheduling, resource governance, and platform services in customer environments.
- Deploy and integrate Kubernetes, Run:ai, ClearML, Slurm, NVIDIA software components, container registries, observability, and supporting platform services.
- Perform platform discovery, installation, configuration, validation, upgrades, troubleshooting, and client knowledge transfer.
- Collaborate with security, networking, compute, storage, application, and data teams to resolve cross-platform dependencies.
- Provide technical input for statements of work, ROMs, LOEs, implementation plans, and solution validation.
- Create project documentation, as-built configurations, test plans, work logs, and client handoff materials.
Requirements
- Bachelor’s degree and three years of experience delivering complex platform, infrastructure, or cloud-native solutions, or seven years of equivalent experience.
- Hands-on production or customer-environment administration experience with Kubernetes or enterprise Kubernetes distributions.
- Experience with containers, registries, Helm, operators, storage classes, ingress, identity integration, secrets, and role-based access control.
- Working knowledge of GPU scheduling, quotas, tenancy, resource allocation, job lifecycle, and utilization in AI environments.
- Experience with workload platforms such as Run:ai, ClearML, Slurm, NVIDIA Base Command, or comparable technologies.
- Working knowledge of Linux, scripting, APIs, Git-based workflows, and infrastructure automation.
- Ability to create and execute implementation and test plans aligned with project deliverables and Statements of Work.
- Strong written and verbal communication skills for interacting with leadership stakeholders and clients.
- Ability to create technical documentation and transfer knowledge to administrators and platform users.
- Ability to work beyond regular shifts, selected weekends, or overtime as needed and travel to CDW locations or client sites.
- Valid U.S. driver’s license.
- Preferred qualifications include experience with NVIDIA GPU Operator, Network Operator, device plugins, NVIDIA AI Enterprise, observability, policy, security, identity, MLOps, infrastructure-as-code tooling, Kubeflow, MLflow, Argo, GitOps, Prometheus, Grafana, or comparable ecosystem tools.
- Relevant Kubernetes, NVIDIA, Linux, or automation certifications are preferred.
Benefits
- Benefits information is provided through the CDW benefits overview website.
- Travel to CDW locations or client sites may be required.
- The role may require occasional overtime, weekend work, or work beyond regularly scheduled shifts.
- Salary ranges may vary based on geographic differentials.
Tech Stack
Categories
Solutions Engineering
About CDW Corporation
CDW Corporation is an IT solutions provider and reseller that designs, supplies, and manages hardware, software, cloud, and cybersecurity for businesses, government, education, and healthcare. Its model combines product resale from major vendors with consulting, managed services, and lifecycle support across data center, networking, and end‑user computing. Founded in 1984 and headquartered in Vernon Hills, Illinois, CDW is publicly traded on NASDAQ.