Cloud DevOps Engineer #26048

Cloud DevOps Engineer #26048 at Blue Chip Talent Cloud DevOps Engineer #26048 at Blue Chip Talent in Oak Park, Michigan Posted in about 3 hours ago.

Type:

full-time

Job Description:

Looking for a Senior DevOps (Azure) Resource. Will be overseeing Azure DevOps pipelines, building Infrastructure as Code solutions (Terraform), and supporting secure cloud deployment practices across both Java and .NET Job Duties Implement & design Azure DevOps pipeline architecture across Java, .NET, Data Bricks, and related environments Build and maintain Infrastructure as Code using Terraform and Bicep for Azure resources Develop reusable IaC modules that support secure, repeatable, and auditable deployments Support repository migrations from Bitbucket Cloud to Azure DevOps Migrate and modernize CI/CD pipelines from Jenkins to Azure DevOps Integrate security scanning, code analysis, and artifact management into deployment pipelines Configure Azure cloud services including Key Vault, Data Bricks, AKS, and container-based environments Skills & Experience Required 5+ years of experience deploying and managing Microsoft Azure resources at scale 3+ years of hands-on Terraform experience in complex Azure environments Experience with Infrastructure as Code using Terraform, Bicep, state management, modules, and workspace strategies 5+ years of experience building YAML-based CI/CD pipelines using Azure DevOps and/or Jenkins Hands-on experience with Azure DevOps Pipelines, Repos, Git, Jenkins, and Bitbucket Cloud Experience integrating JFrog Artifactory, SonarQube, code scanning, IaC scanning, and container image scanning Proficiency with PowerShell, Bash, and Python scripting Experience supporting DevOps pipelines across Java, .NET, Python, Node.js, or Data Bricks environments Desired Highly desired someone brings a few years of lead experience. Experience with Azure Key Vault, Azure Data Bricks, Azure Kubernetes Service, or Azure Container Apps Experience migrating repositories or pipelines into Azure DevOps Familiarity with branching strategies, artifact workflows, and secure release management Experience working in highly secured or restricted cloud environments Exposure to ML Ops, AI model deployment, or Data Bricks pipeline deployments Azure DevOps Engineer Expert or Azure Solutions Architect certification Experience with Docker, container orchestration, or container registry security Prior lead-level DevOps, platform engineering, or consulting experience