AI Infrastructure Lead - Hybrid Cloud & Kubernetes

EY; Oklahoma City (OK); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Flexible vacation policy

Job summary

EY is seeking AI Systems Engineers to build and operate the foundational substrate powering EY’s AI-native platform. This role covers infrastructure and cloud-native platform layers across hybrid environments.

You will manage Kubernetes clusters, bare-metal and GPU systems, and multi-tenant scaling, ensuring reliability and portability in regulated client contexts. Join EY's hybrid model and contribute to secure, scalable, and portable AI workloads while collaborating across security,

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, including hands-on systems depth.
• Hands-on expertise 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 AI Factory, 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.
• Own secure execution and inference with sandboxed execution for isolated model execution.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, model/prompt selection, and streaming response handling.
• Collaborate with DevOps on CI/CD/CV, IaC / GitOps for reproducible environments.
• Own backup, disaster recovery, and cross-environment replication, plus patching and supply-chain hygiene.
• Ensure the substrate is modular and swappable to minimize vendor lock-in.

Skills

Cloud-native platform engineering

Kubernetes

Multi-tenancy at scale

Bare-metal systems

GPU infrastructure

Infrastructure as code

GitOps

Security/compliance

Education

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

Tools

RKE2

EKS/AKS/GKE

K3s

Terraform/OpenTofu

Helm

ArgoCD

Crossplane

Job description

EY is seeking AI Systems Engineers to build and operate the foundational substrate powering EY’s AI-native platform. This role covers infrastructure and cloud-native platform layers across hybrid environments.

You will manage Kubernetes clusters, bare-metal and GPU systems, and multi-tenant scaling, ensuring reliability and portability in regulated client contexts. Join EY's hybrid model and contribute to secure, scalable, and portable AI workloads while collaborating across security,