AI Platform & Infrastructure Manager

EY; Charleston (WV); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid model

Medical and dental coverage

401(k) plans

Paid time off

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 across hybrid environments, from bare-metal to Kubernetes, ensuring reliability and portability in regulated client contexts.

Ideal candidates bring deep expertise in Kubernetes, multi-tenant architectures, and IaC, with a track record of delivering scalable infrastructure for AI workloads. Join EY to shape the future with confidence.

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.
• Ability to work effectively with security, architecture, product, and delivery teams.

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.
• 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, and NVIDIA Dynamo, with sandboxed execution.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, model/prompt selection, and streaming response handling.
• Collaborate with DevOps on deployment of the platform: CI/CD/CV, infrastructure-as-code / GitOps (Helm/OpenTofu).
• Own backup, disaster recovery, and cross-environment replication for high availability.
• Ensure the substrate is modular and swappable.

Skills

Kubernetes at scale

Cloud-native platform engineering

Multi-tenant isolation

Infra automation / IaC

GPU infrastructure experience

Security/compliance awareness

Communication with leadership

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

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 across hybrid environments, from bare-metal to Kubernetes, ensuring reliability and portability in regulated client contexts.

Ideal candidates bring deep expertise in Kubernetes, multi-tenant architectures, and IaC, with a track record of delivering scalable infrastructure for AI workloads. Join EY to shape the future with confidence.