In this role, you will be a key member of the Amazon Leo team, focusing on building and operating AWS infrastructure to support business services. You will work on integrating SAP systems with AWS services while developing infrastructure as code to maintain secure and scalable cloud environments. The team values collaboration and innovation, providing an opportunity to work with advanced technologies like AI and machine learning. This position is ideal for someone who thrives in a fast-paced environment and is passionate about closing the digital divide through technology.

• 5+ years of experience in designing or architecting systems.
• 3+ years of programming experience with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, or Ruby.
• Experience with Linux/Unix systems.
• Experience with CI/CD pipeline build processes.
• Deep expertise with AWS infrastructure services including VPC, EC2, Lambda, CDK/Terraform, and CloudFormation.
• Strong background in authentication and identity management including IAM, SSO, SAML 2.0, OAuth 2.0, and OpenID Connect.
• Hands-on experience with SAP on AWS, specifically S/4HANA, BTP, and Ariba.
• Experience applying AWS AI/ML services such as Bedrock, SageMaker, and Textract to enterprise workflows.

• Design, develop, and own end-to-end delivery of scalable microservices and APIs integrating AWS services with SAP systems.
• Build and maintain infrastructure as code to provision and manage the AWS infrastructure required for SAP integration pipelines.
• Troubleshoot and resolve integration failures across distributed systems to ensure high availability and data consistency.
• Implement and manage authentication and authorization mechanisms for secure SSO in hybrid environments.
• Automate certificate lifecycle management using AWS services and ensure compliance with security standards.
• Develop and integrate AI/ML capabilities into SAP workflows for intelligent automation.
• Collaborate with data engineers to build pipelines feeding SAP transactional data into machine learning models.
• Participate in on-call rotations and maintain operational dashboards to improve reliability and cost efficiency.
• Mentor junior engineers and drive technical decisions within the team.
• Collaborate cross-functionally with various teams to align on requirements and delivery.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.