AI Platform Infrastructure Engineer (Kubernetes & GPU)

Ernst & Young Oman; Tulsa (OK); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

401(k) plans

Job summary

EY seeks AI Systems Engineers to build and operate the foundational substrate powering EY’s AI-native platform. You will own the cloud-native platform, multi-tenant Kubernetes, and cross-environment deployment from cloud to air-gapped targets.

The role emphasizes reliability, portability, and production-grade infrastructure across bare-metal, GPU, and container runtimes, enabling downstream AI workloads with safety and velocity.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related technical field.

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.

Skills

Kubernetes at scale

Cloud-native platform engineering

Infrastructure-as-code / GitOps

Bare-metal & GPU infra

Security & regulatory compliance

Cross-functional collaboration

Automation & reliability

Education

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

Tools

RKE2

EKS/AKS/GKE

K3s

Terraform/OpenTofu

Helm

ArgoCD

Crossplane

Velero

Cilium

Job description

EY seeks AI Systems Engineers to build and operate the foundational substrate powering EY’s AI-native platform. You will own the cloud-native platform, multi-tenant Kubernetes, and cross-environment deployment from cloud to air-gapped targets.

The role emphasizes reliability, portability, and production-grade infrastructure across bare-metal, GPU, and container runtimes, enabling downstream AI workloads with safety and velocity.