Lead AI Platform Infra Engineer (Kubernetes/GPU)

EY; Alpharetta (GA); Hybrid; USD 126,000 - 230,000; Full time

Job summary

EY seeks an AI Systems Engineer to build and operate EY’s foundational infrastructure for the AI-native platform. You will own the cloud-native stack, from bare-metal to Kubernetes, spanning cloud, on-prem, edge, and air-gapped targets, ensuring reliability and portability in regulated client contexts.

You’ll work with DevOps on CI/CD, GitOps, and security, while scaling multi-tenant environments and delivering low-latency inference support with NVIDIA/DPU tech.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 8+ years building or operating enterprise infrastructure and Kubernetes environments.
• Hands-on experience with cloud, on-prem, and air-gapped deployment models.
• Proven track record implementing production-grade Kubernetes platforms.

Responsibilities

• Own the cluster & cloud-native platform including compute, Kubernetes, and multi-tenancy.
• Stand up and manage EY Agentic AI environments across cloud/on-prem/edge.
• Deliver platform capabilities and ensure portability and reliability.
• Collaborate with DevOps for CI/CD and GitOps to keep environments reproducible.
• Ensure security, compliance, and disaster recovery for production infra.

Skills

Kubernetes

Cloud-native

Bare-metal

GPU infra

Multi-tenancy

Automation

Education

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

Tools

RKE2

EKS/AKS/GKE

K3s

Job description

EY seeks an AI Systems Engineer to build and operate EY’s foundational infrastructure for the AI-native platform. You will own the cloud-native stack, from bare-metal to Kubernetes, spanning cloud, on-prem, edge, and air-gapped targets, ensuring reliability and portability in regulated client contexts.

You’ll work with DevOps on CI/CD, GitOps, and security, while scaling multi-tenant environments and delivering low-latency inference support with NVIDIA/DPU tech.