AI Infrastructure Consulting Engineer – Orchestration & Platform

CDW

. Manage time and expense to meet or exceed Statement of Work expectations, escalating scope, schedule, or budget issues .

Posted 10/27/2026full-timeRemote • United StatesMid-LevelSenior💰 $77,725 - $108,265 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing complex platform and cloud-native solutions, with a strong focus on Kubernetes administration, AI workload orchestration, and technical documentation. Proven ability to collaborate across teams and deliver projects aligned with Statement of Work expectations.

Highest-signal resume keywords

Kubernetes AdministrationAI Workload OrchestrationTechnical Documentation CreationProject ManagementCross-Platform Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesContainersHelmLinuxScriptingAPIsInfrastructure AutomationGPU SchedulingWorkload PlatformsResource Allocation

Soft Skills

Strong Communication SkillsAnalytical Problem SolvingAttention to DetailAbility to Balance Competing PrioritiesClient Knowledge Transfer

Tools & Technologies

Run:aiClearMLSlurmNVIDIA Software ComponentsGit-based WorkflowsCI/CDMLOpsKubeflowPrometheusGrafana

Certifications & Qualifications

Kubernetes CertificationNVIDIA CertificationLinux CertificationAutomation Certification

Industry Keywords

Cloud-Native SolutionsPlatform ServicesResource GovernanceObservabilityInfrastructure-as-CodeSecurityIdentity IntegrationJob LifecycleClient SitesStatement of Work

Tech Stack

Tools & technologies

CloudGrafanaKubernetesLinuxPrometheus

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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