Job Summary
The AI Infrastructure Consulting Engineer – Orchestration & Platform Engineering is responsible for implementing, integrating, and supporting platforms that schedule, govern, and operate enterprise AI workloads. This client-facing, billable role delivers high-quality technical outcomes and ensures solutions are implemented as designed to the client's satisfaction and approval. The engineer works across Kubernetes-based and workload-scheduling environments to enable reliable, secure, multi-user access to accelerated computing resources.
What You Will Do
•Manage time and expense to meet or exceed expectations defined in the Statement of Work, proactively escalating potential scope, schedule, or budget issues as soon as they are known.
•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, container registries, observability, and supporting platform services as applicable to the engagement.
•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 SOWs, ROMs, LOEs, implementation plans, and solution validation when requested.
•Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials.
What We Expect of You
•Bachelor's degree and 3 years' experience delivering complex platform, infrastructure, or cloud-native solutions, including planning, implementation, integration, and support OR 7 years' experience delivering complex platform, infrastructure, or cloud-native solutions, including planning, implementation, integration, and support.
•Hands-on experience administering Kubernetes or enterprise Kubernetes distributions in production or customer environments.
•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 concepts in AI environments.
•Experience with one or more workload platforms such as Run:ai, ClearML, Slurm, NVIDIA Base Command, or comparable orchestration and scheduling technologies.
•Working knowledge of Linux, scripting, APIs, Git-based workflows, and infrastructure automation.
•Ability to build and execute implementation and test plans aligned to assigned project deliverables and the Statement of Work.
•Strong written and verbal communication skills with the ability to effectively interact with leadership stakeholders and clients.
•Proven ability to create technical documentation and transfer knowledge to administrators and platform users.
•Demonstrated attention to detail, analytical problem solving, and the ability to balance competing priorities while meeting deadlines.
•Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary to meet client needs.
•Ability and willingness to travel as needed to CDW locations or client sites.
•Valid U.S. driver's license.
•Experience integrating Kubernetes with NVIDIA GPU Operator, Network Operator, device plugins, or NVIDIA AI Enterprise components, is a plus.
•Experience with platform observability, policy, security, identity, MLOps, CI/CD, and infrastructure-as-code tooling, is a plus.
•Familiarity with Kubeflow, MLflow, Argo, GitOps, Prometheus, Grafana, or comparable ecosystem tools, is a plus.
•Relevant Kubernetes, NVIDIA, Linux, or automation certifications, is a plus.
Compensation
Pay range: $77,725 - $108,265 depending on experience and skill set. Annual bonus target subject to terms and conditions of plan. Benefits overview: https://cdw.benefit-info.com/ Salary ranges may be subject to geographic differentials.
About Us
CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what's possible through technology. As a full‑stack, full‑lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes.
