AI Platform Infra Engineer — Cloud-Native & Multi-Environment

EY; Akron (OH); On-site; USD 126,000 - 230,000; Full time

Job summary

EY seeks an AI Systems Engineer to build and operate the foundational substrate powering EY’s AI-native platform. You’ll own the cloud-native platform, substrate reliability, and cross-environment scaling across cloud, on-prem, edge, and air-gapped targets.

This role requires deep experience with Kubernetes, bare-metal, and GPU systems, plus a portability-first mindset to enable fast, secure AI workflows for client contexts. EY offers a flexible, hybrid model and comprehensive rewards.

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 expertise with Kubernetes distributions (RKE2, EKS/AKS/GKE, K3s) and full cluster lifecycle management.
• Deep experience with bare‑metal, cloud, hybrid, on‑prem, and 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).
• 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: Ray Serve, vLLM/NIM/Triton, NVIDIA Dynamo, with sandboxed execution for isolation.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, model/prompt selection, streaming response handling.
• Collaborate with DevOps on CI/CD/CV, IaC/GitOps so environments are reproducible and drift-free.
• Own backup, DR, and cross-environment replication; patching and platform supply-chain hygiene.
• Ensure substrate is modular and swappable to minimize vendor lock-in.

Skills

Cloud-native platform engineering

Kubernetes & multi-tenancy

Bare-metal & GPU systems

Infra-as-code & GitOps

Strong communicator

Education

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

Tools

RKE2

EKS/AKS/GKE

K3s

Terraform/OpenTofu

Helm

ArgoCD

Crossplane

NVIDIA DCGM/GPU tooling

Job description

EY seeks an AI Systems Engineer to build and operate the foundational substrate powering EY’s AI-native platform. You’ll own the cloud-native platform, substrate reliability, and cross-environment scaling across cloud, on-prem, edge, and air-gapped targets.

This role requires deep experience with Kubernetes, bare-metal, and GPU systems, plus a portability-first mindset to enable fast, secure AI workflows for client contexts. EY offers a flexible, hybrid model and comprehensive rewards.