Senior Cloud Engineer

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage and over 420,000 team members across more than 50 countries. The company delivers end-to-end services and solutions leveraging AI, technology, and deep industry expertise, serving top global enterprises including Fortune 500 companies.

• Experience in large-scale IT and cloud environments including Azure, AWS, and GCP.
• Hands-on experience with at least one cloud-based solution.
• Knowledge of automation and configuration management tools such as Ansible, Puppet, Chef, and OpenStack.
• Experience with version control systems like GitHub, GitLab, and Bitbucket.
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Understanding of networking, security, and Infrastructure as Code (e.g., Terraform, Bicep).
• Experience with container technologies including Docker and Kubernetes.

Nice to have:

• Experience with Azure Kubernetes Service (AKS) or other managed Kubernetes platforms.
• Experience with AWS cloud services.
• Basic exposure to Google Cloud Platform (GCP).
• Knowledge of container security and observability tools.
• Knowledge of Linux and/or Windows administration.
• Experience with cloud migration and modernization projects.
• Understanding of storage and clustering technologies.
• Relevant cloud certifications such as AZ-104, AZ-305, CKA, CKAD.

• Design, build, and maintain cloud infrastructure primarily within Microsoft Azure.
• Develop and manage Infrastructure as Code solutions using tools such as Terraform or Bicep.
• Support cloud migration projects, including transitions from on-premises environments to the cloud.
• Automate infrastructure provisioning, configuration, and deployment processes.
• Develop scripts and automation solutions using Python, PowerShell, Bash, or similar technologies.
• Implement and maintain CI/CD pipelines using tools such as Jenkins, Bamboo, and Azure DevOps.
• Collaborate with project teams on cloud architecture, security, networking, and operational improvements.
• Monitor, troubleshoot, and optimize cloud services to ensure reliability and performance.