AI Platform Infrastructure Lead

EY

San Francisco (CA)

Hybrid

USD 126,000 - 230,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model
Flexible vacation policy
Medical and dental coverage

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 layers, including Kubernetes, cluster fabric, and multi-tenant scaling, across cloud, on-prem, edge, and air-gapped targets.

This role emphasizes reliability, portability, and secure model execution, with a focus on delivering a consistent stack contract for diverse environments and teams. EY offers hybrid work and a comprehensive benefits package.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science or related field.
  • 8+ years building or operating enterprise infrastructure or large-scale Kubernetes environments.
  • Hands-on with Kubernetes distributions (RKE2, EKS/AKS/GKE, K3s).
  • Experience with bare-metal, cloud, hybrid, on-prem, air-gapped deployment models.
  • Strong grounding in cluster networking, storage, and multi-tenancy isolation.
  • Experience with GPU infrastructure and scheduling (NVAIE, DCGM).
  • Experience with infrastructure-as-code and GitOps tooling (Terraform/OpenTofu, Helm, ArgoCD).
  • Proven track record in regulated environments.

Responsibilities

  • Own the cluster & cloud-native platform: compute, Kubernetes, multi-tenancy, and scheduling.
  • Manage infrastructure foundations: Ubuntu/OS, bare-metal, DPU architecture, and GPU/Network stack.
  • Stand up EY Agentic AI environments across cloud, on‑prem, edge, and air-gapped modes.
  • Deliver platform capabilities to support downstream runtime, data, and execution services.

Skills

Kubernetes
Multi-tenancy
Bare-metal
GPU infrastructure
GitOps

Education

Bachelor’s or Master’s in Computer Science

Tools

RKE2
EKS/AKS/GKE
K3s
Terraform/OpenTofu
Helm
ArgoCD
Crossplane
Velero
Cilium
NVIDIA DCGM

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 layers, including Kubernetes, cluster fabric, and multi-tenant scaling, across cloud, on-prem, edge, and air-gapped targets.

This role emphasizes reliability, portability, and secure model execution, with a focus on delivering a consistent stack contract for diverse environments and teams. EY offers hybrid work and a comprehensive benefits package.

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