• Create, articulate, and position an innovative and compelling value proposition to help customer executives understand the benefits and transformational value of migrating to AWS. • Define and execute technical migration and modernization strategies in collaboration with highly technical teams. • Deliver modern architectures, including microservices and event-driven architectures, using managed services and cloud-native capabilities. • Engage with customer development, infrastructure, security, and IT operations teams to identify repeatable patterns and architectures for cloud migration. • Identify platform improvements and influence future iterations of the AWS platform and the Migration Acceleration Program.

• 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.

• Design, deploy and maintain cloud infrastructure for data and ML workloads using Infrastructure as Code. • Manage and evolve AWS-based data platform components running on Kubernetes (EKS). • Provision and maintain services such as EMR on EKS, SageMaker, MWAA (Managed Airflow), Lambda, API Gateway and Step Functions. • Implement and maintain IAM roles, permissions and governance policies aligned with compliance requirements. • Support orchestration frameworks used by data teams (DBT, Airflow, Step Functions). • Collaborate with data engineers to troubleshoot infrastructure or platform issues affecting pipelines. • Participate in platform observability initiatives (metrics, logging and monitoring). • Maintain Terraform modules and deployment pipelines. • Support platform migrations and organizational AWS changes when required. • Contribute to platform reliability, scalability and operational excellence.

• Define and evolve enterprise infrastructure reference architectures and patterns for Azure Cloud, hybrid, and on-premises environments. • Lead end-to-end design for network, compute, storage, identity, and security controls aligned to regulatory and risk requirements. • Partner with product, security, compliance, and operations teams to translate objectives into architecture decisions and implementation guidance. • Produce high-quality architecture artifacts, diagrams, and blueprints; review solutions for adherence to standards and non-functional requirements. • Evaluate emerging infrastructure technologies; run proofs of concept and document recommendations with measurable outcomes. • Establish and govern standards for Infrastructure as Code (IaC) and configuration management using tools such as Terraform, Ansible, Puppet, or Chef. • Drive reliability and resilience through capacity planning, performance modeling, and disaster recovery architectures.