Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. RESPONSIBILITIES Design, deploy, and manage infrastructure solutions using Terraform, ensuring scalability, security, and reliability. Develop and maintain infrastructure as code scripts to automate the provisioning and configuration of resources. Implement and manage Kubernetes clusters for containerized applications. Collaborate with development teams to deploy, scale, and optimize applications in Kubernetes environments. Leverage scripting languages (e.g., Python) to automate routine tasks and streamline workflows. Implement continuous integration and continuous deployment (CI/CD) pipelines for efficient software delivery. Ensure seamless integration of infrastructure components with CI/CD pipelines. Design, deploy, and maintain scalable and reliable infrastructure for AI/ML platforms. Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing AI/ML applications. Ensure containerized applications are secure, scalable, and easily deployable. Integrate and deploy artifacts of AI/ML models into the platform, ensuring data pipelines are efficient and reliable. Establish monitoring and alerting systems to ensure the health and performance of AI/ML platforms. Implement security best practices for AI/ML platforms, ensuring data privacy and compliance with industry standards. REQUIRED SKILLS Proven experience in Kubernetes administration, specifically with Azure Kubernetes Service (AKS) . Strong proficiency in Azure cloud services and Azure ARM templates . Expert-level scripting skills in PowerShell and Python . Hands-on experience with Terraform and infrastructure as code. In-depth knowledge of CI/CD principles and experience with Azure DevOps . Experience with containerization technologies. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Engineering Services and IT Services and IT Consulting #J-18808-Ljbffr