AI Platform Engineer: Hybrid Cloud & Kubernetes

EY

Las Vegas (NV)

Presencial

USD 126.000 - 230.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

EY seeks AI Systems Engineers to build and operate EY’s AI-native platform substrate across cloud, on-prem, edge, and air-gapped targets. You’ll own the infrastructure foundation, including Ubuntu/OS, GPU/DPU, and bare-metal provisioning, ensuring production-readiness and portability, with a strong focus on reliability and security.

You will stand up EY Agentic AI environments (Kubernetes stacks like EKS/AKS/GKE, RKE2, NVAIE), manage multi-tenant boundaries, and collaborate with DevOps to enable

Formación

  • Bachelor’s or Master’s degree in Computer Science or related field.
  • 8+ years building or operating enterprise infrastructure, cloud platforms, or large-scale Kubernetes environments.
  • Hands-on expertise with Kubernetes distributions and full cluster lifecycle management.
  • Experience with bare-metal, cloud, hybrid, on-prem, and ideally air-gapped deployment models.
  • Strong grounding in cluster networking, storage, and multi-tenancy isolation.
  • Experience with GPU infrastructure and scheduling (NVAIE/DCGM).
  • 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.

Responsabilidades

  • Own the cluster & cloud-native platform: compute, Kubernetes, and multi-tenancy for Agentic AI workflows.
  • Stand up and manage EY Agentic AI environments across cloud, on-prem, edge, and air-gapped targets.
  • Deliver foundational platform capabilities to support downstream runtime and services.
  • Ensure safe, portable substrate with modular components and clean ownership boundaries.
  • Collaborate with DevOps on CI/CD/CV and GitOps to keep environments reproducible.

Conocimientos

Kubernetes
Multi-tenancy at scale
Bare-metal infrastructure
GPU/DPU hardware

Educación

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

Herramientas

Terraform/OpenTofu
Helm
ArgoCD
Crossplane
RKE2/EKS/AKS/GKE

Descripción del empleo

EY seeks AI Systems Engineers to build and operate EY’s AI-native platform substrate across cloud, on-prem, edge, and air-gapped targets. You’ll own the infrastructure foundation, including Ubuntu/OS, GPU/DPU, and bare-metal provisioning, ensuring production-readiness and portability, with a strong focus on reliability and security.

You will stand up EY Agentic AI environments (Kubernetes stacks like EKS/AKS/GKE, RKE2, NVAIE), manage multi-tenant boundaries, and collaborate with DevOps to enable

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