Key Responsibilities :

CI/CD & DevOps Automation :

- Design, implement, and optimize CI/CD pipelines using Azure DevOps (YAML-based pipelines).

- Manage build, release, and deployment automation processes.

- Implement efficient branching and release strategies using Git.

Cloud & AI Deployment (Azure) :

- Deploy, configure, and maintain AI-powered applications on Microsoft Azure.

- Build and support LangGraph-based agentic AI workflows and applications.

- Work with Azure services such as :

1. Azure App Service

2. Azure Functions

3. Azure Kubernetes Service (AKS)

4. Azure Container Registry (ACR)

5. Azure Storage

6. Azure Key Vault

Infrastructure as Code (IaC) :

- Automate infrastructure provisioning using Terraform, Bicep, and ARM Templates.

- Ensure infrastructure scalability, reliability, and security.

Containerization & Orchestration :

- Build and manage containerized applications using Docker.

- Deploy and maintain workloads on Azure Kubernetes Service (AKS).

- Optimize container performance and orchestration.

Monitoring & Support :

- Monitor application health using Azure Monitor, Application Insights, and Log Analytics.

- Troubleshoot production issues and optimize cloud resource usage.

- Ensure system performance, reliability, and availability.

DevSecOps & Collaboration :

- Implement DevSecOps best practices across cloud environments.

- Ensure security, compliance, and governance standards are followed.

- Collaborate with Development, AI/ML, and Platform Engineering teams for seamless delivery.

Required Skills & Experience :

- 8+ years of experience in Azure DevOps / Cloud DevOps Engineering.

- Hands-on experience with LangGraph for agentic AI workflows.

- Strong expertise in Microsoft Azure cloud services.

- Experience building CI/CD pipelines using Azure DevOps YAML pipelines.

- Strong knowledge of Infrastructure as Code (Terraform, Bicep, ARM).

- Hands-on experience with Docker and Kubernetes (AKS).

- Proficiency in Python or PowerShell scripting.

- Strong understanding of Git, version control, and release management.

- Experience with Azure monitoring and observability tools.

Key Competencies :

- Strong DevOps and cloud engineering mindset.

- Problem-solving and production troubleshooting skills.

- Automation-first approach.

- Strong collaboration with cross-functional teams.

- Experience working in AI/GenAI-driven environments.