Senior AI Platform Infra Lead (Kubernetes/Cloud)

EY; Birmingham (AL); On-site; USD 126,000 - 262,000; Full time

Job summary

EY is seeking AI Systems Engineers to build and operate the foundational substrate powering EY's AI-native platform. You will own the cloud-native platform, Kubernetes, multi-tenancy, and hardware layers across cloud, on-prem, edge, and air-gapped targets, enabling seamless EY Agentic AI workloads.

You will lead infrastructure management, security, and automated delivery while collaborating with DevOps and security teams to ensure reliable, portable, and compliant operations across diverse

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, as the substrate for Agentic AI workflows and tooling.
• Own the infrastructure foundation: Ubuntu/OS, BMC/bare-metal, DPU architecture, and NVAIE (GPU/Network/DCGM), ensuring the physical and virtual bedrock is provisioned, patched, and production-ready.
• Stand up and manage EY Agentic AI environments across cloud (EKS/AKS/GKE), on-prem AI Factory (RKE2/NVAIE), edge (K3s), and air-gapped deployment modes, maintaining one consistent stack contract across all targets.
• Deliver foundational platform capabilities such as Infrastructure Management, Kubernetes & Scheduling, and Cluster Fabric Management, so downstream runtime, data, and execution services can run safely and consistently.
• Own cluster lifecycle, autoscaling, GPU pooling/virtualization, and multi-tenancy boundaries (vCluster/Crossplane/Karpenter), providing isolated, elastic capacity per tenant and engagement.
• Own secure execution and inference: Ray Serve, vLLM/NIM/Triton, and NVIDIA Dynamo, with sandboxed execution (gVisor/Firecracker for hosted, NVIDIA OpenShell/vNode for on-prem) for isolated, safe model execution.
• Own cognitive and routing: Envoy AI Gateway, semantic routing (vLLM-SR), model/prompt selection, and streaming response handling — directing each request to the right model under the right constraints.
• Collaborate with DevOps Engineers on deployment and delivery of the platform itself: CI/CD/CV (ArgoCD), infrastructure-as-code / GitOps (Helm/OpenTofu), so environments are reproducible and drift-free.
• Own backup, disaster recovery, and cross-environment replication for high availability (Velero, CloudNativePG, Cilium ClusterMesh), along with patching and platform supply-chain hygiene.
• Ensure the substrate is modular and swappable, so components can be replaced without rewriting consumers, minimizing vendor lock-in while preserving the stack contract.

Skills

Kubernetes expertise

Cloud-native platform engineering

Multi-tenancy at scale

Infrastructure-as-code

Automation and SRE mindset

Education

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

Tools

Kubernetes distributions: RKE2, EKS/AKS/GKE, K3s

ArgoCD

Terraform/OpenTofu

Helm

Crossplane

Velero

Cilium

GitOps

Job description

EY is seeking AI Systems Engineers to build and operate the foundational substrate powering EY's AI-native platform. You will own the cloud-native platform, Kubernetes, multi-tenancy, and hardware layers across cloud, on-prem, edge, and air-gapped targets, enabling seamless EY Agentic AI workloads.

You will lead infrastructure management, security, and automated delivery while collaborating with DevOps and security teams to ensure reliable, portable, and compliant operations across diverse