Senior AI Platform Engineer: Cloud-Native Infra

EY; Sacramento (CA); On-site; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY seeks AI Systems Engineers to build and operate the foundational substrate powering EY’s AI-native platform. You will own the cloud-native platform, from bare-metal to Kubernetes, across cloud, on-prem, edge, and air-gapped targets, ensuring reliability and portability for Agentic AI workloads.

This role requires deep infrastructure expertise, hands-on Kubernetes with multiple distributions, and strong ownership of platform lifecycle, security, and disaster recovery in regulated client

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).
• 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, 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 model workloads.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, model/prompt selection, streaming results.
• Collaborate with DevOps on CI/CD/CV, IaC/GitOps to ensure reproducible environments.
• Own backup, disaster recovery, and cross-environment replication with patching and hygiene.

Skills

Cloud-native engineering

Multi-tenancy at scale

SRE mindset

Platform leadership

Communication

Education

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

Tools

Kubernetes (RKE2/EKS/AKS/GKE)

K3s

Terraform/OpenTofu

Helm

ArgoCD

Crossplane

Cilium

DCGM/NVAIE

Job description

EY seeks AI Systems Engineers to build and operate the foundational substrate powering EY’s AI-native platform. You will own the cloud-native platform, from bare-metal to Kubernetes, across cloud, on-prem, edge, and air-gapped targets, ensuring reliability and portability for Agentic AI workloads.

This role requires deep infrastructure expertise, hands-on Kubernetes with multiple distributions, and strong ownership of platform lifecycle, security, and disaster recovery in regulated client