Cloud & Data Engineering Manager - Azure & AI Platform

EY; Toledo (OH); Remote; USD 150,000 - 250,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY is seeking a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions. You’ll own workstreams, engage clients, manage budgets, and guide teams across data pipelines, models and cloud platforms.

Ideal candidates have 4–6 years in similar roles, strong Azure expertise (AKS, Functions, Monitor), and hands-on experience with Kubernetes, Terraform, and CI/CD with GitHub Actions or Azure DevOps. EY offers a comprehensive rewards package.

Qualifications

• Bachelor's degree in a related field.
• Minimum 4–6 years of relevant experience.
• Proven experience operating High Availability services on Azure (4+ years).
• Experience with core Azure services (Functions, AKS, SQL, Blob Storage, Monitor).
• Experience designing and managing container orchestration with Kubernetes.
• Experience implementing SRE standards for resiliency and scalability.
• Experience with infrastructure automation using Terraform.
• Experience implementing SLIs/SLOs and error budgets.

Responsibilities

• Lead one or more technical workstreams and assure delivery quality.
• Translate requirements into architecture, pipelines, models and production platforms.
• Maintain daily client engagement and identify adjacent service opportunities.
• Manage resource plans, budgets and engagement economics.
• Own problems from data source to production handoff.
• Ensure observable, version-controlled, scalable code and platforms.
• Collaborate with cross-functional teams for availability and performance.

Skills

Leadership

Analytical skills

Problem-solving

Self-starter

Client engagement

Education

Bachelor's degree

Tools

Azure Functions

Azure Container Apps

Azure SQL Database

Azure Kubernetes Service (AKS)

Azure Monitor (Log Analytics & Application Insights)

Azure DevOps

GitHub Actions

Terraform

Kubernetes

Prometheus

Job description

EY is seeking a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions. You’ll own workstreams, engage clients, manage budgets, and guide teams across data pipelines, models and cloud platforms.

Ideal candidates have 4–6 years in similar roles, strong Azure expertise (AKS, Functions, Monitor), and hands-on experience with Kubernetes, Terraform, and CI/CD with GitHub Actions or Azure DevOps. EY offers a comprehensive rewards package.