• Design, deploy, and operate AWS infrastructure supporting data lakes and containerized workloads. • Implement Infrastructure-as-Code using Terraform, CloudFormation, or similar tools. • Establish secure, scalable, and highly available AWS architectures following cloud best practices. • Collaborate with application and data engineering teams to translate requirements into reliable platform solutions. • Build and manage AWS-based data lakes using services such as S3, Glue, Athena, EMR, Redshift, and Lake Formation. • Support ingestion, transformation, storage, and access for structured and unstructured datasets. • Implement data lifecycle management, tiering, and cost optimization strategies. • Ensure data platforms meet required security, compliance, and governance standards. • Deploy, manage, and operate containerized applications on Amazon EKS. • Build and maintain container images, registries, and deployment pipelines. • Manage Kubernetes clusters including upgrades, scaling, networking, and security. • Partner with developers to improve application reliability, performance, and deployment consistency. • Design, implement, and maintain CI/CD pipelines for data and application workloads. • Automate infrastructure provisioning, application deployment, and operational tasks. • Implement monitoring, logging, and alerting for AWS services, data pipelines, and Kubernetes workloads. • Participate in incident response, root cause analysis, and continuous improvement initiatives.