AI Infrastructure Consulting Engineer – Orchestration & Platform

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $77.7k - $108.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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CDW

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1984

💼 Consulting

🏥 Healthcare

📚 Education

💰 Post-IPO Equity on 2015-07

Consulting • Healthcare • Education

CDW is a leading provider of technology solutions, offering a comprehensive range of products and services to address the needs of enterprises, government, healthcare, and education sectors. They specialize in providing IT infrastructure services, managed services, and security solutions. CDW partners with top technology brands to deliver customized solutions that enhance business productivity and performance across various industries. With a strong focus on digital transformation, security, and cloud solutions, CDW supports businesses in navigating the complexities of modern IT environments. Their expertise spans several domains, including digital workspaces, cybersecurity, and enterprise solutions, making CDW a key partner in driving technological advancements.

📋 Description

• Manage time and expense to meet or exceed Statement of Work expectations, escalating scope, schedule, or budget issues • 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 • 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 • Create and maintain project documentation, as-built configurations, test plans, work logs, and client handoff materials

🎯 Requirements

• 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 such solutions • 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 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 build and execute implementation and test plans aligned to project deliverables and the Statement of Work • Strong written and verbal communication skills for interacting 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 ability to balance competing priorities while meeting deadlines • Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary • 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 are a plus

🏖️ Benefits

• Annual bonus target subject to terms and conditions of plan • Benefits overview provided by CDW • Remote work arrangement • Opportunities for learning, growth, and professional development • Collaborative and supportive work environment