• Design, host, manage, and support AWS-based AI and application infrastructure in production environments. • Architect and manage MCP Servers hosted on AWS, ensuring scalability, availability, and security. • Deploy and manage containerized workloads using Docker on ECS, EKS, and Fargate. • Support and administer core AWS infrastructure including EC2, networking, and security configurations. • Work with AWS AI services, including Amazon Bedrock and Amazon SageMaker, to support AI/ML workloads. • Manage and support AWS databases (both managed and self-hosted) for application and AI use cases. • Implement and maintain DevOps practices, CI/CD pipelines, and infrastructure automation in AWS. • Configure and manage API Gateway, including secure access, integrations, and authorization. • Ensure AWS environments follow best practices for security, IAM roles and policies, scalability, and reliability. • Monitor, troubleshoot, and resolve production issues across AWS platforms. • Provide AWS platform administration and ongoing support. • Document system architectures, deployment processes, runbooks, and operational procedures.