AI Platform Systems Engineer: Cloud, Kubernetes & GPUs

EY; Providence (RI); On-site; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

Flexible vacation policy

Medical and dental coverage

Job summary

EY is seeking AI Systems Engineers to build and operate EY’s AI-native platform substrate, spanning bare-metal to Kubernetes at scale. You will own the cloud-native platform, multi-tenant isolation, and secure execution environments across cloud, on-prem, edge, and air-gapped targets.

You’ll work with EY Agentic AI environments, ensure portability and reliability, and collaborate with DevOps to deliver reproducible, compliant infrastructure in a regulated client context.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 8+ years building or operating enterprise infrastructure or large-scale Kubernetes environments.
• Hands-on experience with Kubernetes distributions (RKE2, EKS/AKS/GKE, K3s).
• Deep experience with bare-metal, cloud, hybrid, on-prem, and ideally air-gapped deployment models.
• Strong grounding in cluster networking, storage, and multi-tenancy isolation.

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 AI Factory, edge, and air-gapped deployment modes, with a consistent stack contract.
• 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 with isolated capacity per tenant.
• Own secure execution and inference: Ray Serve, vLLM/NIM/Triton, and NVIDIA Dynamo, with sandboxed execution for safe model execution.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, model/prompt selection, and streaming response handling.
• Collaborate with DevOps Engineers on CI/CD/CV and GitOps to ensure reproducible environments.
• Own backup, disaster recovery, and cross-environment replication for high availability, plus patching and supply-chain hygiene.
• Ensure the substrate is modular and swappable to minimize vendor lock-in.

Skills

Kubernetes at scale

Cloud-native platform engineering

Bare-metal & GPU infra

Multi-tenancy at scale

Infrastructure-as-code

Education

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

Tools

RKE2

EKS/AKS/GKE

K3s

Terraform/OpenTofu

ArgoCD

Crossplane

Job description

EY is seeking AI Systems Engineers to build and operate EY’s AI-native platform substrate, spanning bare-metal to Kubernetes at scale. You will own the cloud-native platform, multi-tenant isolation, and secure execution environments across cloud, on-prem, edge, and air-gapped targets.

You’ll work with EY Agentic AI environments, ensure portability and reliability, and collaborate with DevOps to deliver reproducible, compliant infrastructure in a regulated client context.