Azure Cloud & AI DevOps Engineer

StevenDouglas; Livonia (MI); On-site; USD 120,000 - 170,000; Full time

Job summary

StevenDouglas is seeking a Cloud DevOps Engineer in Michigan to own the full lifecycle of cloud infrastructure, DevOps practices and AI platform operations. You will provision and secure Azure resources, and deploy, integrate, monitor and scale automation and AI systems that power the business.

This role sits at the crossroads of traditional infrastructure engineering and applied AI operations, requiring strong IaC, CI/CD, containers, networking and observability across Azure.

Qualifications

• Bachelor's degree in CS/IS or related field.
• Kubernetes/AKS or Azure Container Apps preferred.
• Azure certifications AZ-104/AZ-400/AZ-305 preferred.

Responsibilities

• Own the full lifecycle of the cloud infrastructure, DevOps practices and AI platform operations.
• Provision and secure Azure infrastructure.
• Deploy, integrate, monitor and scale the automation and AI systems that increasingly run the business.
• Operate at the intersection of traditional infrastructure engineering and applied AI operations.
• Implement and maintain infrastructure as code, CI/CD, containers, networking and observability across Azure.
• Operate AI platforms such as Azure AI Foundry, Make.com automation scenarios and the agentic workflows built by the AI Enablement team.

Skills

Azure cloud

DevOps practices

CI/CD pipelines

Azure DevOps

GitHub Actions

Docker

PowerShell

Python scripting

Azure Monitor

Observability

Backup and DR

Cost management

SQL databases

Education

Bachelor's degree in computer science, information systems or a related field

Tools

Kubernetes/AKS

Azure Container Apps

AZ-104

AZ-400

AZ-305

Job description

StevenDouglas is seeking a Cloud DevOps Engineer in Michigan to own the full lifecycle of cloud infrastructure, DevOps practices and AI platform operations. You will provision and secure Azure resources, and deploy, integrate, monitor and scale automation and AI systems that power the business.

This role sits at the crossroads of traditional infrastructure engineering and applied AI operations, requiring strong IaC, CI/CD, containers, networking and observability across Azure.