Cloud-Native AI Platform Infrastructure Engineer

EY

Des Moines (IA)

On-site

USD 126,000 - 230,000

Full time

Just now
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Job summary

EY is seeking AI Systems Engineers to build and operate the foundational substrate powering EY’s AI-native platform. You will own the cloud-native platform layers (Kubernetes, multi-tenancy, and infrastructure) across cloud, on-prem, edge, and air-gapped targets, enabling reliable, portable, and scalable AI workloads.

You will collaborate with DevOps and security teams to ensure production-readiness, regulatory compliance, and seamless integration with downstream runtime services.

Qualifications

  • 8+ years building or operating enterprise infrastructure, cloud platforms, or large-scale Kubernetes environments.
  • Hands-on expertise with Kubernetes distributions and full cluster lifecycle management.
  • Deep experience with bare-metal, cloud, hybrid, on-prem, and air-gapped deployment models.
  • Strong grounding in cluster networking, storage, and multi-tenancy isolation.
  • Experience with infrastructure-as-code and GitOps tooling.

Responsibilities

  • Own the cluster & cloud-native platform: compute, Kubernetes and scheduling, cluster fabric/networking, multi-tenancy, and distributed compute.
  • Stand up and manage EY environments across cloud, on-prem, edge, and air-gapped deployment modes.
  • Deliver foundational platform capabilities so downstream runtime, data, and execution services run safely and consistently.
  • Own cluster lifecycle, autoscaling, GPU pooling/virtualization, and multi-tenancy boundaries.
  • Ensure the substrate is modular and swappable to minimize vendor lock-in while preserving stack contract.

Skills

Cloud-native platform engineering
Kubernetes at scale
Bare-metal & GPU infra
Multi-tenancy at scale
GitOps / IaC
Strong communication

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Kubernetes distributions (RKE2, EKS/AKS/GKE)
Terraform/OpenTofu
Helm
ArgoCD
Crossplane
OpenTofu

Job description

EY is seeking AI Systems Engineers to build and operate the foundational substrate powering EY’s AI-native platform. You will own the cloud-native platform layers (Kubernetes, multi-tenancy, and infrastructure) across cloud, on-prem, edge, and air-gapped targets, enabling reliable, portable, and scalable AI workloads.

You will collaborate with DevOps and security teams to ensure production-readiness, regulatory compliance, and seamless integration with downstream runtime services.

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