Senior AI Platform Infrastructure Engineer

EY

Houston (TX)

On-site

USD 126,000 - 230,000

Full time

5 hours ago

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Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY seeks an AI Systems Engineer to build and operate EY’s Hybrid AI platform. You will own the substrate powering the AI-native platform across cloud, on-prem, edge, and air-gapped targets, ensuring reliability, portability, and security in regulated client contexts.

This senior role emphasizes full-stack infrastructure leadership and scalable, multi-tenant Kubernetes environments. You will work with DevOps, security, and product teams to deliver a modular, reproducible platform with

Qualifications

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 (RKE2, EKS/AKS/GKE, K3s) and full cluster lifecycle management.

Responsibilities

Own the cluster & cloud-native platform: compute, Kubernetes and scheduling, cluster fabric, multi-tenancy, and distributed compute.
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 backup, disaster recovery, and cross-environment replication for high availability.