Cloud & Data Platform Manager - AI-Driven Scale

EY; Los Angeles (CA); A distancia; USD 126.000 - 230.000; Jornada completa

Descripción de la vacante

EY is hiring a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable production solutions. You will oversee architecture, pipelines, governance and production platforms across Azure, AWS and GCP.

Lead delivery across data engineering, software engineering and governance teams, while maintaining client engagement and ensuring reliability and performance of services.

Formación

• Bachelor's degree required (4-year degree).
• Typically, no less than 4–6 years of relevant experience.
• Proven record operating High Availability services on Azure (4+ years).
• Expert understanding of core Azure services (Functions, Container Apps, SQL DB, Blob Storage, AKS, Monitor, Prometheus).
• Experience designing and managing Kubernetes-based container orchestration.

Responsabilidades

• Lead one or more technical workstreams and assure delivery quality.
• Translate 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 data through pipeline to production handoff.
• Incorporate GenAI/LLM capabilities where relevant.
• Demonstrate proficiency in Agile delivery and governance.

Conocimientos

Azure

AKS

Terraform

CI/CD

GitHub Actions

Azure DevOps

Kubernetes

Python/SQL

GenAI/LLM

Agile delivery

Observability

Educación

Bachelor's degree

Herramientas

Terraform

GitHub Actions

Azure DevOps

Descripción del empleo

EY is hiring a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable production solutions. You will oversee architecture, pipelines, governance and production platforms across Azure, AWS and GCP.

Lead delivery across data engineering, software engineering and governance teams, while maintaining client engagement and ensuring reliability and performance of services.