Descrição

  • Job Summary:
  • We are seeking a highly skilled and experienced DevOps Engineer with a strong background in Azure DevOps to join our growing team. The ideal candidate will have at least 5 years of hands-on experience with Azure DevOps and a solid understanding of programming or scripting with Python, .NET, or C#. In this role, you will be responsible for building, deploying, and maintaining robust cloud infrastructure and automation pipelines to support our development and operations teams
  • Key Responsibilities:
  • Design, implement, and manage CI/CD pipelines in Azure DevOps to streamline application deployment and improve software delivery efficiency.
  • Collaborate with development teams to create and optimize automated build and release processes.
  • Build and maintain cloud infrastructure on Azure, ensuring scalability, reliability, and security.
  • Troubleshoot and resolve issues in application deployments, infrastructure, and monitoring systems.
  • Automate infrastructure provisioning and configuration management using tools like Azure Resource Manager (ARM), Terraform, or Ansible.
  • Develop and maintain scripts or applications in Python, .NET, or C# for automating tasks and improving workflow.
  • Implement and maintain monitoring solutions to track system health, performance, and availability.
  • Support and guide teams on DevOps best practices, continuous integration, and continuous deployment principles.
  • Maintain and improve source control management practices (Git) and versioning strategies.
  • Required Skills & Qualifications:
  • 5+ years of hands-on experience with Azure DevOps for CI/CD pipeline design, management, and optimization.
  • Solid understanding of cloud-based infrastructure, particularly Microsoft Azure.
  • Proficiency in Python, .NET, or C#, with practical experience writing scripts or tools for automation.
  • Familiarity with infrastructure-as-code tools like Terraform, Ansible, or ARM Templates.
  • Experience working with containerization technologies such as Docker and Kubernetes.
  • Strong understanding of version control systems (primarily Git).
  • Knowledge of monitoring and logging tools such as Azure Monitor, Log Analytics, or Prometheus.
  • Proven ability to troubleshoot complex systems and resolve production issues in a timely manner.
  • Strong problem-solving skills, attention to detail, and ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills to interact with technical and non-technical teams.

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