Cloud DevOps Engineer

Overview In this role, you own Mastronardi’s cloud and AI platform operations, delivering secure Azure infrastructure, CI/CD, containers, and observability. You’ll work at the intersection of traditional infrastructure and AI workflows, building scalable automation and AI deployments. You will operate in production, ensuring reliability, security, and cost efficiency while reducing single-person dependency. This position supports Mastronardi’s drive toward automated, AI-powered processes that enable growth and innovation. ResponsibilitiesDeploy and manage Azure infrastructure using infrastructure-as-code (ARM/Bicep, Terraform)Design and maintain CI/CD pipelines for infra, automation, and AI deploymentsBuild and operate containerized workloads (Docker, AKS/Azure Container Apps)Implement patching, configuration management, and security best practicesConfigure networking, identity, and access controls for infra and integrationsEstablish monitoring, logging, and alerting across infra and AI systemsOwn backup, disaster recovery, and business continuity proceduresManage cloud cost optimization and capacity planningParticipate in on-call/incident response and root-cause analysisCross-train team members to reduce single-person dependencyDeploy, configure, and operate Azure AI Foundry agents, models, and endpointsBuild and operate Make.com automation scenarios connected to enterprise systemsEnsure observability for AI workloads and track latency, costs, and failuresManage versioning and rollout of AI models, prompts, and agent configurationsBuild guardrails and access controls around AI platformsIntegrate Power Automate, Make.com, APIs with enterprise systemsSupport scaling of AI inference and automation workloadsCollaborate with AI Enablement to productionize AI solutionsEvaluate new automation and AI infrastructure tooling Key requirementsBachelor’s degree in computer science, information systems, or a related fieldAzure infrastructure deployment and management using IaC (ARM/Bicep, Terraform)CI/CD pipeline development (Azure DevOps, GitHub Actions)Containerization with Docker; Kubernetes/AKS or Azure Container AppsScripting/programming for automation (PowerShell, Python)Networking and identity management (Microsoft Entra ID, RBAC)Monitoring/observability with Azure Monitor, Log Analytics, GrafanaBackup, disaster recovery, and patch management for production infraCloud cost management and optimization (Azure Cost Management)SQL querying across relational databasesERP or enterprise systems experience is a plusHands-on experience with Make.com or similar platforms and AI Foundry deploymentsExperience with REST APIs, webhooks, and system integrationsMicrosoft Power Automate and Power Platform knowledgeUnderstanding of AI governance, security, and guardrailsExposure to MLOps/LLMOps concepts is a plusAzure (VMs, networking, storage, identity)ARM/Bicep, TerraformAzure DevOps or GitHub ActionsDocker, Kubernetes/AKS or Azure Container AppsPowerShell, PythonMicrosoft Entra ID, RBAC