Cloud & Data Engineering Manager - Lead Scalable Platforms

EY; Memphis (TN); A distancia; USD 126.000 - 230.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical and dental coverage

Pension and 401(k)

Paid time off options

Descripción de la vacante

EY seeks a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions. You will own workstreams, engage clients, manage budgets and drive cross-functional delivery across data engineering, software engineering, and cloud platforms.

The role emphasizes hands-on development, governance, observability, and GenAI/LLM integration, with deep experience in Azure services, Kubernetes, Terraform and CI/CD.

Formación

• Bachelor’s degree required (4-year degree).
• Typically 4–6 years of relevant experience.
• Proven record operating High Availability services on Azure (4+ years).
• Experience designing and managing container orchestration with Kubernetes.

Responsabilidades

• Lead one or more technical workstreams and assure delivery quality.
• Translate business requirements into architecture, pipelines, models or production platforms.
• Maintain daily client engagement and identify adjacent service opportunities.
• Manage resource plans, budgets and engagement economics.
• Own problems from raw source through data pipeline, model/analysis and production handoff.
• Design, provision and run the underlying cloud and container platform in production.

Conocimientos

Azure

Kubernetes

Terraform

CI/CD

GitHub Actions

Azure DevOps

Agile

SRE

Leadership

Problem-solving

Educación

Bachelor's degree

Herramientas

Terraform

AKS

Descripción del empleo

EY seeks a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions. You will own workstreams, engage clients, manage budgets and drive cross-functional delivery across data engineering, software engineering, and cloud platforms.

The role emphasizes hands-on development, governance, observability, and GenAI/LLM integration, with deep experience in Azure services, Kubernetes, Terraform and CI/CD.