Senior AI Platform Engineer - Hybrid Infra & Kubernetes

EY; Boca Raton (FL); Hybrid; USD 126,000 - 230,000; Full time

Job summary

EY seeks an AI Systems Engineer to build and operate the foundational substrate powering EY’s AI-native platform. This role spans bare-metal to Kubernetes across cloud, on-prem, edge, and air-gapped targets, shaping a reliable, portable substrate.

You will own cluster lifecycle, secure execution, Envoy AI Gateway, and governance through IaC and GitOps, enabling EY teams to deploy AI capabilities safely at scale.

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 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 (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, 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.
• 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 for isolation.
• Own cognitive and routing: Envoy AI Gateway, semantic routing, model/prompt selection, and streaming response handling.
• Collaborate with DevOps on CI/CD/CV, IaC/GitOps to ensure reproducible environments and drift-free deployments.
• Own backup, disaster recovery, and cross-environment replication with patching and platform hygiene.

Skills

Kubernetes

Cloud-native platform

GPU, bare-metal, DPU

Automation / IaC

Security / compliance

Education

Bachelor's degree in CS or related field

Master's degree in CS or related field

Tools

Terraform/OpenTofu

Helm

ArgoCD

Crossplane

Job description

EY seeks an AI Systems Engineer to build and operate the foundational substrate powering EY’s AI-native platform. This role spans bare-metal to Kubernetes across cloud, on-prem, edge, and air-gapped targets, shaping a reliable, portable substrate.

You will own cluster lifecycle, secure execution, Envoy AI Gateway, and governance through IaC and GitOps, enabling EY teams to deploy AI capabilities safely at scale.