560310_Azure AI Services

Infrastructure Automation Engineer Role Overview The Infrastructure Automation Engineer is responsible for designing, developing, and implementing automation solutions across Windows and UNIX/Linux platforms to improve efficiency, reliability, security, and lifecycle operations. The role works closely with engineering, operations, and security teams to streamline platform management through scripting, orchestration, and modern automation frameworks. Key Responsibilities Develop and maintain automation scripts using PowerShell, Python, Bash, or Perl to automate provisioning, configuration, patching, and lifecycle upgrades Implement and enhance automation workflows using Ansible, AWX ,and integration with CI/CD pipelines. Troubleshoot automation issues, perform diagnostic analysis, and support reliability improvements Maintain technical documentation, automation standards, and configuration playbooks. Collaborate with cross functional teams to refine lifecycle automation designs and ensure platform scalability, security, and operational readiness Required Skills & Experience Strong scripting expertise in PowerShell, Python, Bash, or Perl Hands on experience with Ansible, Puppet, Chef, SCCM or other automation/configuration tools Understanding of CI/CD pipelines, IaC principles, and version control (e.g., Git) Strong troubleshooting and analytical skills for resolving complex system and automation issues Ability to produce clear documentation and communicate effectively with technical and non technical teams Bachelors degree in Computer Science, IT, or related field (as referenced for similar automation roles Infra Automation and Linux Administration Windows and Unix/ Linus Admin, PowerShell, Python, Bash, or Perl Hands on experience with Ansible, Puppet, Chef, SCCM or other automation/configuration tools Understanding of CI/CD pipelines, IaC principles, and version control

Mandatory skills	Azure AI Services, Azure Cognitive services, Azure, Azure NLP, Azure AI, Azure Machine Learning, Azu re Auto-ML API / Microservices Architecture