Amazon.com Services LLC
Technology
SoftwareDevelopmentEngineerII
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“Software Development Engineer II at Amazon.com Services LLC”
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Full Job Description
Description We are building something transformational — a greenfield, enterprise-grade data and insights platform that will redefine how automobile dealers, OEMs, and third-party partners engage with Amazon Autos. You'll be a key contributor to the data platform that drives smarter decision-making for thousands of dealers and partners spanning multiple marketplaces. Our seller and partner ecosystem — spanning dealer groups, OEMs, and 3P integrations — depends on real-time, actionable intelligence to optimize inventory, pricing, engagement, and sales performance. You will own and deliver major components of the platform that provides this intelligence at scale. We are looking for a software engineer who writes high-quality code, independently designs and builds complex components, and contributes to the technical direction of the team. You will work at the intersection of data engineering, AI/ML, and product — owning the design and delivery of key features from concept to production. What You Will Build * Data platform components that serve ML models and surface predictive insights to dealers and partners * Features within intelligent agent systems that enable non-technical stakeholders to query and act on complex datasets * Scalable data pipelines that process massive volumes of transactional, behavioral, and market data * API integrations that transform raw signals into insights directly influencing revenue streams What Makes This Role Unique This is a rare greenfield opportunity to be part of building a platform that will serve as the data backbone for Amazon Autos seller and partner ecosystem. You will work with AI-powered tools and contribute to the next generation of AI-enabled data platforms, within a team that has already driven AI adoption to over 90% among its software builders. Key job responsibilities Component Design & Ownership: Design, build, and own major components of the data platform — including data ingestion modules, transformation pipelines, AP
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