AI Platform Infra Lead: Kubernetes & Hybrid Cloud

EY; Woodbridge Township (NJ); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) retirement plan

Paid time off

Job summary

EY is seeking AI Systems Engineers to design and run a cloud-native, multi-environment infrastructure for its AI-native platform. You will own Kubernetes, scheduling, and the substrate across cloud, on-prem, edge, and air-gapped targets.

The role emphasizes reliability, portability, and security for regulated client contexts, with a focus on automating infrastructure as code and enabling fast, safe model execution across environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related technical field.
• 8+ years building or operating enterprise infrastructure, cloud platforms, or large-scale Kubernetes environments.
• Hands-on experience with Kubernetes distributions (RKE2, EKS/AKS/GKE, K3s) and full cluster lifecycle management.
• Deep experience with bare-metal, cloud, hybrid, on-prem, and ideally air-gapped deployment models.
• Strong grounding in cluster networking (Cilium/service mesh/CNI), storage, and multi-tenancy isolation.
• Experience with GPU infrastructure and scheduling (NVAIE/DCGM, GPU operators, virtualization/MIG).
• Experience with infrastructure-as-code and GitOps tooling (Terraform/OpenTofu, Helm, ArgoCD, Crossplane).
• Proven track record operating production infrastructure under compliance, security, or regulatory constraints.

Responsibilities

• Own the cluster & cloud-native platform: compute, Kubernetes and scheduling, cluster fabric/networking, multi-tenancy, and distributed compute.
• Own the infrastructure foundation: Ubuntu/OS, BMC/bare-metal, DPU architecture, and NVAIE (GPU/Network/DCGM).
• Stand up and manage EY Agentic AI environments across cloud, on-prem, edge, and air-gapped deployment modes.
• Deliver foundational platform capabilities such as Infrastructure Management, Kubernetes & Scheduling, and Cluster Fabric Management.
• Own cluster lifecycle, autoscaling, GPU pooling/virtualization, and multi-tenancy boundaries.

Skills

Kubernetes at scale

Cloud-native platform engineering

Multi-tenancy & isolation

Infrastructure automation

Effective communication with engineers

Education

Bachelor’s or Master’s in CS or related field

Tools

RKE2

EKS/AKS/GKE

K3s

Terraform/OpenTofu

Helm

ArgoCD

Crossplane

Job description

EY is seeking AI Systems Engineers to design and run a cloud-native, multi-environment infrastructure for its AI-native platform. You will own Kubernetes, scheduling, and the substrate across cloud, on-prem, edge, and air-gapped targets.

The role emphasizes reliability, portability, and security for regulated client contexts, with a focus on automating infrastructure as code and enabling fast, safe model execution across environments.