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Senior Azure DevOps Engineer

Salary undisclosed

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Key Responsibilities:

  • Design, implement, and manage CI/CD pipelines to automate the software development and deployment processes.
  • Collaborate with development, QA, and operations teams to improve deployment workflows and ensure smooth releases.
  • Manage and maintain Azure infrastructure, including virtual machines, databases, and networking resources.
  • Implement and oversee configuration management, monitoring, and alerting systems using Azure DevOps tools and other technologies.
  • Develop and maintain infrastructure as code using tools like Terraform or ARM templates.
  • Troubleshoot and resolve issues related to build, deployment, and infrastructure.
  • Ensure the security, scalability, and high availability of cloud environments.
  • Continuously evaluate and improve existing DevOps practices and processes.

Required Skills:

  • Extensive experience with Azure DevOps Services and Azure Cloud Platform.
  • Proficiency in scripting languages such as PowerShell, Bash, or Python.
  • Strong experience with CI/CD tools and practices, including Azure Pipelines, Git, and GitHub Actions.
  • Hands-on experience with infrastructure as code (IaC) using tools like Terraform or Azure Resource Manager (ARM) templates.
  • Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Experience with monitoring and logging tools (e.g., Azure Monitor, Log Analytics).
  • Familiarity with configuration management tools (e.g., Ansible, Chef, Puppet) is a plus.
  • Understanding of cloud security best practices and compliance requirements.

Educational Requirements:

  • Bachelor s or Master s degree in Computer Science, Information Technology, Engineering, or a related field.

Preferred Qualifications:

  • Relevant certifications such as Microsoft Certified: Azure DevOps Engineer Expert.
  • Experience with large-scale, high-availability cloud environments.
  • Knowledge of agile methodologies and practices.
  • Familiarity with DevSecOps practices and tools.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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