Senior Azure Devops Engineer Github Actions

Job Title: Senior Azure DevOps Engineer (GitHub Actions, AKS, Entra ID & Azure AI)

Location: Atlanta, GA(Hybrid)

Type: Contract

Role Summary:

• We are looking for a hands-on Azure DevOps Engineer with strong expertise inGitHub Actions, Azure Cloud, AKS, Entra ID, Azure App Services, and AI Foundry integrations.
• The ideal candidate will be responsible for building and maintaining CI/CD pipelines, managing cloud infrastructure, securing application deployments, configuring Azure services, and supporting AI-enabled applications deployed within the Azure ecosystem.
• The role requires deep understanding of Azure identity management, cloud-native application deployment, Kubernetes operations, infrastructure automation, and DevSecOps best practices.

Key Responsibilities:

DevOps & CI/CD

• Design, implement, and optimize CI/CD pipelines usingGitHub Actions.
• Automate application build, release, deployment, and rollback processes.
• Implement Infrastructure as Code (IaC) and deployment automation.
• Establish branching strategies, release governance, and deployment standards.
• Azure Platform Administration
• Manage and support Azure subscriptions, resource groups, networking, and security controls.
• Configure and maintain Azure App Services, Function Apps, and related platform services.
• Optimize application performance, scalability, reliability, and monitoring.
• Support production deployments and operational excellence initiatives.

Identity & Security

• Administer and troubleshoot Microsoft Entra ID (Azure AD).
• Design and manage RBAC, Managed Identities, Service Principals, Enterprise Applications, and access governance.
• Implement secure authentication and authorization patterns across applications and services.
• Ensure compliance with enterprise security and governance requirements.
• AKS & Container Platform
• Deploy and manage applications on Azure Kubernetes Service (AKS).
• Configure ingress, secrets management, container registries, scaling policies, and monitoring.
• Support containerization using Docker and Kubernetes best practices.
• Troubleshoot cluster, networking, and deployment issues.

Azure AI & AI Foundry Integration

• Configure and maintain Azure AI Foundry connectivity and application bindings.
• Integrate AI services into enterprise applications through secure deployment pipelines.
• Manage secrets, endpoints, model deployments, and environment configurations.
• Support AI application lifecycle management across development, testing, and production environments.

Monitoring & Operations

• Implement observability using Azure Monitor, Application Insights, Log Analytics, and dashboards.
• Perform root cause analysis, incident resolution, and platform optimization.
• Develop operational runbooks and support automation initiatives.

Required Skills & Qualifications

• 5+ years of experience in Azure DevOps and Cloud Engineering.
• Strong expertise in GitHub Actions and CI/CD automation.
• Hands-on experience with Azure App Services and cloud-native deployments.
• Strong knowledge of Microsoft Entra ID (Azure AD), RBAC, Managed Identities, and Service Principals.
• Experience managing and troubleshooting AKS environments.
• Experience with containerization technologies including Docker and Kubernetes.
• Strong understanding of Azure networking, security, and governance.
• Experience with PowerShell, Bash, or scripting languages for automation.

Preferred Skills

• Azure AI Foundry and Azure OpenAI deployment experience.
• Terraform, Bicep, or ARM Templates.
• GitHub Enterprise administration.
• Azure API Management.
• DevSecOps and security scanning tools.
• Monitoring and observability platforms.
• Tools & Technologies
• GitHub Actions
• Azure DevOps
• Microsoft Entra ID (Azure AD)
• Azure App Services
• Azure Kubernetes Service (AKS)
• Azure Container Registry (ACR)
• Azure AI Foundry
• Azure Monitor & Application Insights
• Terraform / Bicep
• Docker & Kubernetes
• PowerShell / Bash
• Key Success Metrics
• Reliable CI/CD adoption across projects
• Deployment automation and release efficiency
• Platform uptime and operational stability
• Security compliance and RBAC governance
• AKS platform performance and scalability
• Successful AI Foundry and Azure service integrations