Azure Devops Engineer

Role & responsibilities

• Design, implement, and manage scalable cloud infrastructure solutions on Microsoft Azure using Terraform for Infrastructure as Code (IaC).
• Develop and maintain CI/CD pipelines using Azure DevOps to automate the build, test, and deployment processes.
• Collaborate with development teams to integrate version control systems, primarily Git, into the CI/CD workflows.
• Monitor and optimize Azure infrastructure for performance, reliability, and cost-effectiveness.
• Implement security best practices and ensure compliance with organizational policies in all deployment processes.
• Create and maintain comprehensive documentation for infrastructure configurations and operational procedures.
• Work closely with cross-functional teams to gather requirements and deliver solutions that align with business objectives.
• Stay informed about the latest Azure services, Terraform advancements, and DevOps practices to continuously improve our infrastructure and processes.
• Create and maintain shared Terraform modules using Terratest to ensure that modules are stable and able to be used by clients

Key Skills and Qualifications:

• Proven experience as a DevOps Engineer with a focus on Azure cloud services.
• Strong expertise in Infrastructure as Code (IaC) using Terraform.
• Proficiency in using Azure DevOps for CI/CD pipeline creation and management.
• Solid understanding of version control systems, particularly Git.
• Intermediate Experience with at least one of the following languages: Python, C#, or Go Lang
• Experience with scripting languages such as PowerShell, Bash, or Python for automation tasks.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with Open Policy Agent policy writing
• Microsoft Certified: Azure DevOps Engineer Expert or similar Azure certifications.
• Experience with configuration management tools such as Ansible.
• Knowledge of monitoring and logging tools within the Azure ecosystem, such as Azure Monitor and Log Analytics.
• Experience executing in on a team using Agile methodology for delivery.
• Familiarity with containerization technologies like Docker.