About the role

What you’ll do

• Design, implement, and support Azure cloud infrastructure and deployment capabilities for AI/ML solutions
• Partner with enterprise cloud, infrastructure, security, DevOps, and AI/ML teams
• Implement and maintain infrastructure as code and reusable deployment configurations
• Apply cloud governance, resource tagging, and enterprise deployment standards
• Monitor, log, troubleshoot, and document production support for cloud-hosted services
• Support AWS and hybrid-cloud needs across environments

What you’ll need

• Bachelor's degree or equivalent combination of education and experience
• Three years of experience in cloud engineering, DevOps, platform engineering, or infrastructure automation
• Hands-on Microsoft Azure experience in an enterprise environment
• Experience with source control, pull requests, CI/CD, and controlled deployment using GitHub, Azure DevOps, or comparable tools
• Understanding of security best practices, RBAC, encryption, and sensitive-data handling in cloud environments
• Experience supporting AI/ML deployments or applications in Azure

Original job description