- The role focuses on delivering scalable automation and DevOps solutions using Microsoft Power Platform, Azure services, and scripting technologies.
- Accountabilities
- Develop and maintain automation solutions using Microsoft Power Platform, including Power Apps and Power Automate.
- Develop and enhance scripts using PowerShell and Python to support infrastructure and business process automation.
- Build and maintain DevOps pipelines supporting CI/CD and automated deployment processes.
- Develop integrations between business applications and cloud platforms using REST APIs.
- Support the implementation of AI-driven solutions using Copilot Studio and Azure AI technologies.
- Work collaboratively with product owners, developers, and operations teams to deliver automation initiatives.
- Participate in agile ceremonies including sprint planning, backlog refinement, daily stand-ups, and retrospectives.
- Troubleshoot application and automation issues, identify root causes, and implement corrective actions.
- Maintain technical documentation for automation workflows, integrations, and deployment processes.
- Ensure solutions comply with Computacenter governance, security, and operational standards.
Knowledge & Key Skills
Essential
- Experience with Microsoft Power Platform (Power Apps and Power Automate).
- Strong understanding of Azure cloud services and DevOps practices.
- Proficiency in PowerShell and/or Python scripting.
- Understanding of Agile development methodologies.
- Experience designing and consuming REST APIs.
- Solid analytical and problem-solving skills.
- Ability to work effectively within cross-functional teams.
- Good communication and documentation skills.
Desirable
- Experience with Rundeck job orchestration.
- Exposure to Azure AI and Copilot Studio.
- Experience with Ansible automation.
- Understanding of cloud-native automation patterns.
- Knowledge of enterprise integration practices.
Critical Success Factors
- Delivery of reliable and scalable automation solutions.
- Successful implementation of AI-enabled automation capabilities.
- Reduction of manual effort through effective automation initiatives.
- Strong collaboration across engineering and business teams.
- Compliance with organizational governance and security standards.