AI Platform Infra Engineer - Kubernetes & Hybrid Cloud

EY; Denver (CO); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Hybrid work model

Job summary

EY is seeking an AI Systems Engineer to build and operate EY's AI-native platform across cloud, on‑prem, edge, and air‑gapped targets. You will own the substrate and Kubernetes-driven infrastructure, delivering reliable, portable platforms for Agentic AI workloads at scale.

This role emphasizes production readiness, security, and portability, with a focus on automating the platform and reducing operational toil through IaC and GitOps.

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, 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.
• Own the infrastructure foundation: Ubuntu/OS, BMC/bare-metal, DPU architecture, and NVAIE.
• Stand up and manage EY Agentic AI environments across cloud, on-prem, edge, and air-gapped targets.
• 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, with sandboxed execution.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, model/prompt selection, streaming handling.
• Collaborate with DevOps on deployment, CI/CD/CV (ArgoCD), IaC / GitOps (Helm/OpenTofu).
• Own backup, disaster recovery, cross-environment replication, and patching.

Skills

Kubernetes

Cloud-native

Multi-tenant

Terraform/OpenTofu

ArgoCD

Crossplane

Networking

GPU infrastructure

Security & compliance

GitOps

Education

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

Tools

RKE2

EKS/AKS/GKE

K3s

NVAIE

DCGM

gVisor

Firecracker

ArgoCD

Helm

OpenTofu

Job description

EY is seeking an AI Systems Engineer to build and operate EY's AI-native platform across cloud, on‑prem, edge, and air‑gapped targets. You will own the substrate and Kubernetes-driven infrastructure, delivering reliable, portable platforms for Agentic AI workloads at scale.

This role emphasizes production readiness, security, and portability, with a focus on automating the platform and reducing operational toil through IaC and GitOps.