This role is for a Senior Azure Cloud & AI Engineer responsible for architecting, building, and scaling enterprise Master Data Management (MDM) platforms within a large, complex retail environment. The position involves leading the design and hands-on delivery of critical Location Master and Product Master solutions that serve as foundational systems for various business functions including Stores, Supply Chain, Merchandising, and Purchasing.
Key Responsibilities:
Architect, build, and scale enterprise Master Data Management (MDM) platforms.
Lead the design and hands-on delivery of Location Master and Product Master solutions.
Blend Azure cloud architecture, modern open-source engineering, data governance, and AI-driven intelligence.
Actively leverage AI-assisted development tools such as GitHub Copilot and Cursor to accelerate delivery.
Maintain enterprise standards for security, quality, and maintainability in all solutions.
Required Skills:
Expertise in designing and implementing secure, scalable, and highly available Azure cloud architectures.
Proficiency in deploying and managing Azure services including Virtual Machines, App Services, Kubernetes (AKS), Azure Storage, Azure SQL, and Cosmos DB.
Experience with Infrastructure as Code (IaC) using ARM Templates, Bicep, or Terraform.
Ability to implement CI/CD pipelines using Azure DevOps or GitHub Actions.
Skills in monitoring, troubleshooting, and optimizing cloud environments.
Strong understanding of modern open-source engineering and data governance.
Experience with AI-driven intelligence, including human-in-the-loop and emerging agentic AI patterns.
Qualifications:
Demonstrated experience as a Senior-level engineer in Azure cloud and AI domains.
Proven ability to lead design and delivery of complex enterprise solutions.
Preferred Skills:
Familiarity with human-in-the-loop and emerging agentic AI patterns.
Experience utilizing AI-assisted development tools such as GitHub Copilot and Cursor.