Senior DevOps (Azure) Resource

About

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