Cloud & Data Engineering Manager: Build Scalable Platforms

EY; Westlake Village (CA); Remote; USD 126,000 - 230,000; 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 transform data and AI capabilities into scalable, reliable production solutions. You will own workstreams from architecture to production handoff, with hands-on responsibilities across cloud platforms, data pipelines and governance.

You will lead teams, manage budgets, and drive client engagements while applying modern SRE practices, Terraform automation and GitOps in a predominantly Azure environment to deliver resilient, scalable services.

Qualifications

• 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).
• Experience designing, deploying and managing container orchestration platforms using Kubernetes.
• Experience implementing SRE standards for resiliency and scalability of microservice architectures in Kubernetes.

Responsibilities

• Lead one or more technical workstreams and assure delivery quality.
• Translate business and client requirements into architecture, pipelines, models or production platforms.
• Maintain daily client engagement and identify adjacent service opportunities.
• Own budgets and engagement economics across workstreams.
• Build scalable pipelines and streaming architectures using Python/SQL and cloud platforms.

Skills

Azure cloud

Kubernetes

CI/CD

Education

Bachelor's degree (4-year)

Tools

Terraform

GitHub Actions

Azure DevOps

AKS / Kubernetes tooling

Job description

EY is seeking a Data and Cloud Engineering Manager to transform data and AI capabilities into scalable, reliable production solutions. You will own workstreams from architecture to production handoff, with hands-on responsibilities across cloud platforms, data pipelines and governance.

You will lead teams, manage budgets, and drive client engagements while applying modern SRE practices, Terraform automation and GitOps in a predominantly Azure environment to deliver resilient, scalable services.