Cloud DevOps Engineer

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we’re now the leading greenhouse vegetable company on the continent. Our award-winning, flavorful produce is packed under the SUNSET® brand and is available at leading grocery retailers across North America. Family owned for over 70 years, we pride ourselves on having the most flavorful products and the best people in the industry.

We are constantly pushing boundaries to be a leader in fresh produce innovation. We seek individuals that demonstrate our PRIDE values (Passion, Respect, Innovation, Drive, Excellence) to help us fulfill our mission to inspire healthy living through WOW flavor experiences.

Our corporate office in Livonia, Michigan is currently seeking an Dev Ops Cloud Engineer to join our team! The Cloud/Dev Ops Automation Engineer owns the full lifecycle of Mastronardi's cloud infrastructure, Dev Ops practices, and AI platform operations — from provisioning and securing Azure infrastructure to deploying, integrating, monitoring, and scaling the automation and AI systems that increasingly run the business.

This role sits at the intersection of traditional infrastructure engineering and applied AI operations. It covers infrastructure-as-code, CI/CD, containerization, networking, and observability across Azure, as well as the deployment, integration, monitoring, and scaling of AI platforms such as Azure AI Foundry,  automation scenarios, and the agentic workflows built by the AI Enablement team. This is a hands-on individual contributor role: the Automation Engineer writes code and scripts, configures infrastructure, deploys and operates AI systems, and runs all of it directly in production — providing critical redundancy for cloud and AI-platform work that currently depends on a single person, and building the operational backbone that lets Mastronardi scale its automation and AI investments safely.

Values:

To perform the job successfully, the incumbent’s behavior must be consistent with the PRIDE values expected of all Mastronardi Produce employees: be Passionate; have Respect; be Innovative; be Driven and strive for Excellence.

Primary Responsibilities:

• Deploy and manage Azure infrastructure (VMs, networking, storage, identity) using infrastructure-as-code (ARM/Bicep, Terraform, or equivalent) rather than manual configuration.
• Design, build, and maintain CI/CD pipelines (Azure Dev Ops, Git Hub Actions, or equivalent) for infrastructure changes, automations, and AI platform deployments.
• Build and maintain containerized workloads (Docker) and, where applicable, orchestration (Kubernetes/AKS or Azure Container Apps) for infrastructure and AI services.
• Implement configuration management and patching practices to keep servers, VMs, and platform components current, consistent, and secure.
• Design and maintain networking, identity, and access controls (Microsoft Entra , RBAC, network security groups) for infrastructure and platform integrations.
• Build monitoring, logging, and alerting (Azure Monitor, Log Analytics, or equivalent) across infrastructure, automations, and AI systems so issues are caught before they affect the business.
• Own backup, disaster recovery, and business continuity procedures for infrastructure and automation/AI platforms under this role's care.
• Manage cloud cost and capacity planning, right-sizing resources and identifying optimization opportunities.
• Participate in an on-call/incident response rotation, performing root-cause analysis and driving remediation for production issues.
• Cross-train other Cloud Operations & Infrastructure team members to reduce single-person dependency across infrastructure, automation, and AI-platform responsibilities.

AI Platform Operations & Automation

• Deploy, configure, and operate Azure AI Foundry agents, models, and endpoints, connecting them to the systems and data they need to run reliably in production.
• Build, maintain, and troubleshoot automation scenarios in  (and comparable platforms) that connect business systems, data sources, and AI capabilities.
• Build and operate the infrastructure and integration layer that lets AI Enablement's agentic workflows…