Platform Engineer - DevOps Specialist L2 (contract)

Capgemini is seeking a Platform Engineer - DevOps Specialist L2 to support and optimize large-scale AI/ML platforms within AWS environments. The role focuses on designing scalable AI infrastructure, supporting distributed model training and inference workloads, managing cloud-native Kubernetes platforms, and optimizing AWS AI accelerator technologies.

Responsibilities:

• Design, deploy, and support AI/ML infrastructure within AWS environments
• Build and maintain scalable platforms for large-scale model training and inference workloads
• Support distributed training environments for LLMs and Generative AI workloads
• Implement and manage cloud-native infrastructure using Kubernetes, EKS, and containerized technologies
• Utilize AWS Trainium, Inferentia, EC2 Trn instances, and AWS Neuron SDK to support AI workloads
• Optimize AI platform performance through benchmarking, tuning, and infrastructure improvements
• Support migration and optimization efforts involving AWS AI accelerator technologies
• Collaborate with engineering teams to deliver scalable and reliable AI infrastructure solutions

Requirements:

• 5+ years of experience in Cloud, Data, or AI Infrastructure
• Experience supporting large-scale AI/ML training workloads within AWS environments
• Experience with AWS Trainium, Inferentia, EC2 Trn instances, and AWS Neuron SDK for AI model training and inference
• Strong understanding of LLMs, Generative AI, distributed training, and AI/ML infrastructure
• Hands-on experience with Kubernetes (EKS), Docker, Python, PyTorch, and cloud-native architectures
• Experience with AI performance optimization, benchmarking, and infrastructure scalability
• Exposure to AWS Trainium or Inferentia environments
• Experience optimizing or migrating AI workloads to AWS AI accelerator platforms
• Experience supporting large-scale distributed AI training environments