Lead AI Platform Engineer - Cloud-Native Infra & Kubernetes

EY; Fort Worth (TX); On-site; USD 126,000 - 230,000; Full time

Job summary

EY seeks AI Systems Engineers to build and operate the foundational substrate powering EY’s AI-native platform. You will manage cloud-native, bare-metal, and edge environments across multiple targets, ensuring reliability, portability, and security in regulated client contexts.

The role emphasizes multi-tenant architecture, infrastructure-as-code, and scalable deployment practices to enable downstream AI workloads while maintaining a unified stack contract across environments.

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 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.

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, 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 and delivery of the platform: CI/CD/CV, IaC / GitOps, Helm/OpenTofu.

Skills

Kubernetes

Cloud-native

Bare-metal

GPU infrastructure

Infra as code

GitOps

Security/compliance

Communication

Education

Bachelor's or Master's degree in Computer Science

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 manage cloud-native, bare-metal, and edge environments across multiple targets, ensuring reliability, portability, and security in regulated client contexts.

The role emphasizes multi-tenant architecture, infrastructure-as-code, and scalable deployment practices to enable downstream AI workloads while maintaining a unified stack contract across environments.