Senior AI Platform Infra Engineer: Kubernetes & Hybrid AI

EY; Salt Lake City (UT); Sur place; USD 126 000 - 230 000; Plein temps

Résumé du poste

EY is seeking an AI Systems Engineer to build and operate the foundational substrate powering EY’s AI-native platform, spanning bare-metal to Kubernetes and multi-environment runtimes. You will own the infrastructure, security, and portability across cloud, on‑prem, edge, and air‑gapped targets, delivering a production-ready substrate for Agentic AI workflows.

This senior role requires deep cloud-native expertise, strong hardware depth, and the ability to balance reliability with velocity while

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 experience 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.

Responsabilités

• Own the cluster & cloud-native platform: compute, Kubernetes and scheduling, cluster fabric/networking.
• Own the infrastructure foundation: Ubuntu/OS, BMC/bare-metal, DPU architecture, 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 with sandboxed execution for safe model execution.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, model/prompt selection.
• Collaborate with DevOps on CI/CD/CV, IaC, GitOps for reproducible environments.
• Own backup, disaster recovery, and cross-environment replication for high availability.

Connaissances

Cloud-native platforms

Bare-metal GPU

Multi-tenancy at scale

Infra-as-code

Security & compliance

Formation

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

Outils

RKE2

EKS/AKS/GKE

K3s

Terraform/OpenTofu

ArgoCD

Crossplane

Description du poste

EY is seeking an AI Systems Engineer to build and operate the foundational substrate powering EY’s AI-native platform, spanning bare-metal to Kubernetes and multi-environment runtimes. You will own the infrastructure, security, and portability across cloud, on‑prem, edge, and air‑gapped targets, delivering a production-ready substrate for Agentic AI workflows.

This senior role requires deep cloud-native expertise, strong hardware depth, and the ability to balance reliability with velocity while