Cloud & Data Engineering Manager — Lead Scalable AI Platforms

EY; Providence (RI); Remote; USD 126,000 - 251,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Job summary

EY in the United States seeks a Data and Cloud Engineering Manager who will turn data and AI capabilities into scalable, reliable production solutions. You will own workstreams, engage clients, and drive budgets and engagement economics across Azure-based platforms.

You will build scalable pipelines and streaming architectures using Python/SQL on cloud platforms (Azure predominant, AWS/GCP also key). The role emphasizes hands-on coding, governance, observability and strong collaboration with

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).
• Expert understanding of core Azure services such as Azure Functions, Azure Container Apps, Azure SQL Database, Azure Blob Storage, AKS, Azure Monitor, and Azure Managed Prometheus.
• Experience designing, deploying and managing container orchestration platforms using Kubernetes.
• Experience implementing SRE standards for Resiliency and Scalability of microservice architectures in Kubernetes.
• Experience with infrastructure automation using Terraform.
• Experience implementing SLIs, SLOs and Error Budgets as part of development/delivery practices.
• Experience monitoring container-based microservices & Cloud Platform services.
• Use of CI/CD tools - preferably GitHub Actions, Azure DevOps.
• Knowing agile methodology and being able to work by its principles.
• Strong analytical and problem-solving skills.

Responsibilities

• Lead one or more technical workstreams and assure delivery quality.
• Translate business and client requirements into architecture, pipelines, models, semantic layers or production platforms.
• Maintain daily client engagement, participate in working sessions 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.
• Automate, optimize and drive efficiency in processes, tools and communication across cross-functional teams.

Skills

Azure

Kubernetes

Terraform

GitHub Actions

Agile

SRE

CI/CD

Python

SQL

Education

Bachelor’s degree

Tools

Azure Functions

Azure Container Apps

Azure SQL Database

Azure Blob Storage

AKS

Azure Monitor

Prometheus

Terraform

Job description

EY in the United States seeks a Data and Cloud Engineering Manager who will turn data and AI capabilities into scalable, reliable production solutions. You will own workstreams, engage clients, and drive budgets and engagement economics across Azure-based platforms.

You will build scalable pipelines and streaming architectures using Python/SQL on cloud platforms (Azure predominant, AWS/GCP also key). The role emphasizes hands-on coding, governance, observability and strong collaboration with