SoftwareDevelopmentEngineer,StoreGen

StoreGen is hiring SDEs to work on Applying Expertise at Scale — an initiative to fundamentally change how expertise reaches Amazon's software. Today, every builder team is expected to independently learn and apply a growing set of standards — accessibility, availability, security, internationalization, and more — on top of building their actual products. We believe there's a better way: expert teams should apply their expertise directly, at scale, across Amazon's software. This is a ground-floor opportunity. We don't yet know exactly what needs to be built — that's part of the job. You'll join a small, high-performing team that operates with high judgment, clear communication, deep collaboration, and a laser focus on uncovering value. The team's mission is to explore how StoreGen and adjacent technologies can serve as the connective tissue for applying expertise at scale — storing expertise, surfacing it in context, and enabling expert teams to reach software they couldn't before. This is an AI-native role. You are expected to operate proficiently with all AI tools and implement AI technologies as solutions. The team treats AI not as an add-on but as a first-class participant in how we build, experiment, and deliver. Key job responsibilities -Own problem spaces end-to-end: Take ownership of entire problem areas within the initiative — from research and discovery through design, implementation, and measurement. Drive clarity in ambiguous spaces. -Explore and build: Experiment with approaches to store, surface, and apply expertise across Amazon's software — prototyping solutions, running experiments, and iterating based on what we learn. -Design for scale: Architect systems that can apply expertise reliably across thousands of services — considering how standards evolve, how trust is built, and how changes reach software safely. -Ship AI-native solutions: Design and implement systems that use AI to apply expertise in context — whether that's shaping code as it's writ