Cloud & Data Engineering Manager: Build Scalable AI Platforms

EY

Akron (OH)

Remote

USD 126,000 - 230,000

Full time

20 hours ago
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Benefits offered by this job

Medical & Dental
401(k) plan
Paid time off

Job summary

EY seeks a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions. You will own workstreams, budgets, client interactions, and drive governance across data platforms and cloud services.

A strong engineering background with Azure, Kubernetes, Terraform and CI/CD is essential. You will lead cross-functional teams across data engineering, software engineering, AI/ML, and architecture, ensuring high availability and performance while

Qualifications

  • Bachelor’s degree required (4-year).
  • 4–6 years of relevant experience.
  • Proven experience with High Availability on Azure.
  • Experience with Kubernetes and container orchestration.
  • Terraform automation experience.
  • Experience with SLIs/SLOs and error budgets.
  • CI/CD with GitHub Actions or Azure DevOps.
  • Agile delivery experience.
  • Strong analytical and problem-solving skills.
  • Self-starter with leadership ability.

Responsibilities

  • Lead one or more technical workstreams and assure delivery quality.
  • Translate requirements into architecture, pipelines, models, or platforms.
  • Maintain daily client engagement and identify opportunities.
  • Manage budgets and engagement economics.
  • Own problems from data source to production handoff.
  • Automate and optimize processes across cross-functional teams.
  • Remain hands-on with tested, version-controlled code.
  • Collaborate with development teams for availability and performance.
  • Design and operate cloud/platform infrastructure in production.
  • Build scalable data pipelines and streaming architectures on Azure/AWS/GCP.

Skills

Azure
Kubernetes
SRE
Terraform
CI/CD
Agile
Analytical
Problem-solving
Leadership
Team management
Cloud platforms
GitHub Actions
Azure DevOps

Education

Bachelor's degree (4-year)

Tools

GitHub Actions
Azure DevOps

Job description

EY seeks a Data and Cloud Engineering Manager to turn data and AI capabilities into scalable, reliable production solutions. You will own workstreams, budgets, client interactions, and drive governance across data platforms and cloud services.

A strong engineering background with Azure, Kubernetes, Terraform and CI/CD is essential. You will lead cross-functional teams across data engineering, software engineering, AI/ML, and architecture, ensuring high availability and performance while

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