Azure Cloud Infrastructure Architect

2 weeks ago

Hyderabad, Telangana, India beBeeDevOps Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
About the Role

Our organization is seeking a seasoned Azure DevOps Engineer to join our team on a subcontract basis. The ideal candidate will have extensive expertise in infrastructure automation, cloud platform management, and CI/CD pipeline development, with a strong emphasis on Ansible Automation Platform and playbook writing.

This role involves designing and implementing robust cloud infrastructure solutions on Microsoft Azure, enabling automation-driven deployments, and ensuring reliability, scalability, and security across enterprise environments. The engineer will be responsible for leveraging Terraform, ARM templates, and Ansible playbooks to automate provisioning, configuration, and lifecycle management.

Responsibilities
  • Design, implement, and manage scalable Azure cloud infrastructure to meet enterprise needs.
  • Develop and maintain Ansible playbooks for automation of infrastructure and application provisioning.
  • Leverage Ansible Automation Platform to build reusable, reliable automation frameworks.
  • Automate infrastructure deployments using Terraform or Azure ARM templates.
  • Implement automation for certificate management and work with OpenShift environments for application hosting.
  • Build, optimize, and maintain CI/CD pipelines covering build, test, and deployment stages.
  • Integrate Databricks notebooks and workflows into CI/CD pipelines to enable automated data workflows.
  • Ensure adherence to best practices for version control, code quality, and testing within DevOps processes.
  • Implement and manage monitoring, alerting, and logging solutions to ensure system reliability.
  • Oversee the lifecycle management of infrastructure and data pipelines, ensuring smooth operations.
  • Collaborate with developers, architects, and operations teams to deliver automation-driven solutions.
  • Troubleshoot and resolve issues in cloud deployments, automation scripts, and pipeline configurations.

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