Join Capgemini Engineering, a global leader in engineering services, and contribute to innovative projects ranging from autonomous vehicles to advanced robotics. We are seeking a skilled Cloud Automation Engineer to design, automate, and manage scalable Azure virtual lab environments, enhancing operational efficiency and cost-effectiveness. This role offers a dynamic career path with opportunities for growth and impact.

As part of our team, you will work with cutting-edge digital and software technologies. We foster an inclusive culture that values diversity and supports continuous learning, particularly in emerging fields like cloud and AI. Embrace a career where your contributions make a difference and no two days are the same.

Develop and maintain automated Azure infrastructure solutions, deployment frameworks, and environment lifecycle management. Build and automate Azure-based virtual lab environments, including their creation, configuration, operation, and teardown. Provision Azure services such as Virtual Networks, Subnets, NSGs, Virtual Machines, Storage Accounts, and monitoring solutions using Terraform or Bicep.

Create reusable VM images, deployment artifacts, and infrastructure configurations. Automate the deployment and movement of various environment components. Implement configuration-driven provisioning and develop scripts for environment management, health checks, and cleanup. Drive cloud cost optimization through resource tagging and expiration policies.

A minimum of 6 years of experience in Cloud Infrastructure Automation, DevOps, or Cloud Engineering is required. Extensive hands-on experience with Microsoft Azure services and cloud infrastructure design is essential. Proficiency in Terraform and/or Azure Bicep for Infrastructure as Code (IaC) is mandatory.

Demonstrated experience in automating Azure networking, compute, storage, security, and monitoring services. Strong scripting skills using PowerShell, Python, or Bash are necessary. Familiarity with CI/CD pipelines and deployment automation is expected. Experience with Azure Virtual Machine image management and environment provisioning is beneficial.