Azure Cloud & AI Automation Engineer

Mastronardi Produce Ltd.; Livonia (MI); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Accommodation for disabilities

Job summary

Mastronardi Produce Ltd. in Livonia, Michigan, is seeking an experienced DevOps Cloud Engineer to own Azure infrastructure, CI/CD, containerization, and AI platform operations in production.

This hands-on role provisions, secures, deploys, monitors, and scales cloud and AI systems that drive the business. The position emphasizes IaC, automation, observability, cost management, disaster recovery, and on-call responsibilities, with collaboration across IT governance and AI Enablement teams.

Qualifications

• Degree in CS or related field required.
• Strong experience with Azure cloud, IaC and CI/CD.
• Proficiency in Docker, Kubernetes, and automation tooling.
• Experience with monitoring, security, and cost optimization.

Responsibilities

• Deploy and manage Azure infrastructure using IaC (ARM/Bicep, Terraform).
• Design and maintain CI/CD pipelines for infra and AI deployments.
• Build containerized workloads and orchestrate as needed.
• Implement patching, security, and RBAC controls.
• Monitor and alert across infra and AI platforms; ensure DR and backups.
• Manage cloud cost and capacity planning; participate in on-call rotation.
• Collaborate with AI Enablement and governance teams for safe production.
• Document infrastructure, automations, and operating procedures.

Skills

Cloud computing

Azure

CI/CD

Containerization

Scripting

Networking & IAM

Monitoring & Observability

Backup & Disaster Recovery

Cost optimization

SQL

AI platforms

Education

Bachelor’s degree in computer science or related field

Tools

Docker

Kubernetes

Terraform

ARM/Bicep

Azure DevOps

GitHub Actions

PowerShell

Python

Make.com

Power Automate

Job description

Mastronardi Produce Ltd. in Livonia, Michigan, is seeking an experienced DevOps Cloud Engineer to own Azure infrastructure, CI/CD, containerization, and AI platform operations in production.

This hands-on role provisions, secures, deploys, monitors, and scales cloud and AI systems that drive the business. The position emphasizes IaC, automation, observability, cost management, disaster recovery, and on-call responsibilities, with collaboration across IT governance and AI Enablement teams.