Architect and manage scalable, reliable, and secure AWS infrastructure for various applications and services.• Deploy and manage on-premises Kubernetes clusters to run internal applications, ensuring high availability and scalability.• Design and implement CI/CD pipelines using Jenkins and GitHub Actions to automate application deployment and reduce releasetimes by 40%.• Utilize Terraform to manage infrastructure as code, enabling consistent and repeatable deployments.• Implement monitoring and logging solutions using Prometheus, Grafana, and EFK Stack to ensure system health and performance.• Deploy and manage MLOps infrastructure to support AI initiatives in computer vision (CV), natural language processing (NLP),IoT, and web and mobile applications.• Work with Nuclio to streamline serverless functions and improve the efficiency of machine learning workflows.• Deploy and manage AWS Lambda functions to support real-time processing of CV data, ensuring efficient and scalable handling ofhigh-volume image and video streams.• Use Helm to manage Kubernetes applications, facilitating the deployment and management of complex workloads.• Collaborate with development teams to integrate automated testing and continuous integration processes, enhancing code qualityand deployment efficiency.• Optimize AWS resources and costs by implementing best practices for auto-scaling, load balancing, and instance sizing.