Software Development Engineer, PXT Central Science

Amazon's People Experience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements that simultaneously improve Amazon and the lives, well-being, and value of work for Amazonians. PXTCS is an interdisciplinary team that combines the talents of science, engineering, and UX to build and deliver solutions that measurably achieve this goal — at a scale that touches over 1.5 million Amazonians worldwide. As a Software Development Engineer on PXTCS, you'll work side by side with economists, data scientists, data engineers, and applied scientists turning leading-edge ML and Generative AI models into reliable, scalable production systems. This is a rare chance to see your code directly shape how Amazon supports its workforce, spanning areas like benefits, compensation, recruiting, voice of employee, management practices, and organizational culture. We offer opportunities for builders to build and make history! Key job responsibilities - Work with teams across the org to deliver large distributed projects to delight our customers - Write high-quality, efficient, testable code in Java and other object-oriented languages - Build highly available, secure, systems in a microservices architecture - Collaborate with some of the best engineers in the industry - Own and operate the systems that you build - Contribute to planning, design, implementation, testing, operations, and process improvement - Get firsthand experience engineering client apps as well as AWS services such as Lambda, EC2, S3, DynamoDB and others A day in the life - Find out what it takes to engineer systems for "Amazon Scale" - Contribute to planning, design, implementation, testing, operations, and process improvement - Get firsthand experience engineering client apps as well as AWS services such as Lambda, EC2, S3, DynamoDB and others About the team PXTCS combines economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements that improve both Amazon's operations and the experience of every Amazonian. Its engineering teams take science-driven insights and models — spanning areas like benefits, compensation, recruiting, voice of employee, management practices, and organizational culture — and turn them into production systems operating at Amazon's scale. PXTCS is an interdisciplinary group where engineering, applied science, and product work side-by-side, and where this team's output directly shapes how Amazon supports its workforce.