Design, develop, test, deploy, and maintain distributed software solutions across web applications, backend services, cloud architecture, and machine learning components to improve Amazon Operations in Japan and other regions.
Collaborate with local and global technical and business teams to understand problems and craft solutions; create technical designs and drive consensus.
Execute end-to-end SDLC tasks including standups, design documentation, focused software development, testing, deployment, and maintenance.
Work on domains such as inventory distribution, return logistics, Fulfillment Center layout planning, and truck planning; proactively learn and apply new cloud technologies.
技術スタック
必須スキル
Bachelor's degree in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM field (graduated within the last 24 months)
Proficiency in at least one general-purpose language: Java, Python, C++, C#, Go, Rust, or TypeScript
Experience with data structures/algorithm development or object-oriented design principles
歓迎スキル（該当する場合）
AI tools for development productivity
Cloud platforms (preferably AWS)
Database systems (SQL and NoSQL)
Contributing to open-source projects
Version control systems
Debugging and troubleshooting complex systems
Strong problem-solving and analytical skills
Excellent written and verbal communication
Ability to learn and adapt to new technologies quickly
Basic understanding of software development lifecycle (SDLC)
キャリア成長観点
Global-scale impact on Amazon Operations with exposure across Japan, India, China, Mexico, and more, offering broad regional insight.
End-to-end ownership across web, backend, cloud, and ML domains, enabling progression toward senior individual contributor or technical leadership roles.
Regular cross-functional collaboration with technical and business teams, strengthening communication, stakeholder management, and problem-solving capabilities; hands-on experience with AWS and cloud-native patterns.
Diverse domain exposure (inventory distribution, logistics optimization, FC planning) creates flexible career paths toward SDE, systems/solutions architecture, or specialized engineering tracks.