Join Amazon's FBA Capacity and Inventory Health Management team as a Software Development Engineer II. You'll play a crucial role in enhancing the experience for Amazon's global selling partners by developing innovative Native-AI SDLC solutions. This position offers the opportunity to work with cutting-edge technologies and contribute to the scalability and optimization of our world-class supply chain systems.

This is a chance to shape the future of e-commerce by building and managing tools for FBA capacity allocation, inventory planning, and forecasting. You will collaborate with top researchers and developers to create robust, in-house systems designed for large-scale business automation and optimization across the entire inventory lifecycle.

Develop and implement Native-AI SDLC solutions for Amazon's worldwide selling partners. Design and build scalable, multi-tier distributed services with low latency and high transactional volumes. Utilize object-oriented design principles and industry-standard design patterns. Contribute to the full software development lifecycle, including architecture, coding, testing, and deployment. Collaborate with senior engineers, researchers, and data engineers to advance supply chain management platforms. Automate third-party supply management systems and drive inventory efficiency across Amazon marketplaces.

Requires 3+ years of professional software development experience, excluding internships. Possesses 2+ years of experience in designing or architecting new and existing systems, including reliability and scaling. Demonstrates 3+ years of experience within the Video Games Industry, supporting title development, release, or live operations. Proficient in at least one software programming language. Experience with the full software development lifecycle is preferred, encompassing coding standards, code reviews, source control, build processes, testing, and operations. Bachelor's degree in Computer Science or a related field is advantageous. Familiarity with Machine Learning and LLM fundamentals, including transformer architecture and optimization techniques, is a plus.