Software Developer (AI DevOps Engineer)

Computacenter; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Computacenter is seeking a focused Automation & DevOps professional to deliver scalable automation using Microsoft Power Platform, Azure services, and scripting. You will develop Power Apps and Power Automate solutions, write PowerShell and Python scripts, and maintain CI/CD pipelines to automate deployments.

You will integrate applications via REST APIs and explore AI-driven capabilities with Copilot Studio and Azure AI.

Qualifications

• 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.
• Strong analytical and problem-solving skills.
• Ability to work effectively within cross-functional teams.
• Good communication and documentation skills.

Responsibilities

• 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.

Skills

Power Platform

Azure DevOps

Scripting (PowerShell/Python)

Agile

REST APIs

Analytical thinking

Cross-functional collaboration

Documentation skills

Tools

Rundeck

Ansible

Copilot Studio

Azure AI

PowerShell

Python

Job description

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.
• Strong 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.