AZURE AUTOMATION ENGINEER

Automation Specialist to design, build, and maintain serverless integration workflows using Azure Logic Apps and Azure Automation Runbooks. The candidate will need understand infrastructure and business process automation, focusing on reliability, efficiency, and scalability.

Key Responsibilities:

Workflow Development: Design and deploy Azure Logic Apps to automate business processes, integrating with Azure services and third-party SaaS applications.

Runbook Creation: Develop PowerShell or Python runbooks within Azure Automation to manage infrastructure, process automation, and incident remediation.

Orchestration: Combine Logic Apps with Azure Automation Runbooks to trigger, monitor, and manage complex workflows.

Infrastructure as Code (IaC): Utilize Azure Bicep to deploy automation solutions securely.

Monitoring and Troubleshooting: Monitor Logic App triggers (HTTP, Recurrence, Webhook) and runbook job performance to ensure optimal reliability.

Optimization: Identify opportunities for automation enhancement, including self-healing processes and hybrid worker integration.

Documentation: Maintain comprehensive documentation for workflows, runbooks, and troubleshooting guides

Required Skills and Qualifications:

3–5 years of experience

Logic Apps Proficiency: Experience in Azure Logic Apps, including connectors, triggers, and JSON data operations.

Azure Automation Expertise: Knowledge of Azure Automation Account, Runbooks (PowerShell/Python), and Hybrid Runbook Workers.

REST API : Understanding of REST principles, HTTP methods (GET, POST, PUT, DELETE), status codes, and API design best practices

Scripting Capabilities: Proficient in PowerShell, Azure CLI, or Python for task automation.

Cloud Infrastructure Knowledge: Understanding of Azure IaaS/PaaS, networking, and security.

CI/CD Experience: Experience in deploying automation scripts using Azure DevOps or GitHub Actions.

Analytical Skills: Problem-solving abilities to troubleshoot failures in automated workflows

Nice-to-Haves:

Experience with Kubernetes and container orchestration.

Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub Actions, Jenkins).

Exposure to cloud platforms like Azure or AWS.

Understanding microservices architecture.

Knowledge of Server-Side React or Node.js for prototyping purposes

Experience with GitHub Copilot.