Design, implement, and manage CI/CD pipelines using Azure DevOps tools and services.
Automate infrastructure provisioning and deployment using Python, Azure Resource Manager (ARM) templates, and Azure CLI.
Work with Azure services such as Azure Kubernetes Service (AKS), Azure Functions, Azure App Services, Azure Key Vault, and Azure Storage to build robust, scalable solutions.
Manage source code repositories, branching strategies, and version control in Git, leveraging Azure Repos.
Collaborate with development teams to integrate automated testing, deployment, and monitoring into the DevOps pipeline.
Implement Infrastructure as Code (IaC) using tools like Azure ARM templates, Terraform, or Ansible.
Configure, monitor, and maintain the Azure infrastructure, ensuring security, compliance, and performance optimization.
Write and maintain Python scripts for automation tasks, including deployments, backups, and monitoring.
Troubleshoot and resolve issues in the deployment pipeline, environments, and production systems.
Work closely with the QA team to ensure continuous integration and delivery with automated tests.
Optimize cloud infrastructure and resource utilization to reduce costs.
Ensure the security and scalability of cloud applications and services.

Required Skills:

Strong experience with Azure DevOps services, including Azure Data Factory, Azure Pipelines, Azure Repos, and Azure Artifacts.
Proficiency in Python for automating deployment, infrastructure management, and monitoring.
Solid experience with Azure cloud services such as Azure Kubernetes Service (AKS), Azure App Services, Azure Functions, Azure Storage, Azure Key Vault, and Azure DevTest Labs.
Hands-on experience in setting up and maintaining CI/CD pipelines for automating deployments and integrations.
Expertise in using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Ansible in Azure environments.
Familiarity with version control systems (Git), branching strategies, and pull requests workflows.
Experience with containerization (Docker) and container orchestration (Kubernetes) on Azure.
Strong understanding of cloud security practices, cost management, and performance monitoring in Azure.
Familiarity with monitoring and logging tools like Azure Monitor, Application Insights, and Log Analytics.
Strong troubleshooting skills and the ability to resolve complex deployment and infrastructure issues.
Good communication skills and ability to work collaboratively within a cross-functional team

Azure Data Factory, Azure Kubernetes, Python, Git, Docker, Adf

Role: DevOps Engineer

Industry Type: IT Services & Consulting

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: DevOps

Education

UG: Any Graduate

PG: Any Postgraduate

Azure Devops Engineer