Senior Software Engineer, Worldwide Amazon Stores Finance Technology

The World Wide Amazon Stores FinTech (WWASFT) org is looking to hire a talented Senior Software Engineer to join its Controllership Engineering team. The team solves problems that bring accuracy, efficiency, and optimization to financial spending across Amazon's Stores business.We are developing GenAI-based solutions to improve efficiency and bring a paradigm shift to the broader Finance organization within Amazon. One of our flagship efforts is a GenAI chatbot that will transform the life of Finance Analysts by giving them quick access to finance-specific critical information, bringing new efficiency to their day-to-day work. We are constantly looking for innovative ways to solve problems by leveraging Big Data solutions, AWS technologies, Data Science, Machine Learning, and <GenAI.As> a Senior SDE, you will get the opportunity to design and implement solutions from scratch, set the technical direction for high-impact GenAI and data products, and work alongside senior engineers who will partner with you and support your growth. This is a high-ownership, high-visibility role with a direct line of sight to how Amazon's Finance organization operates.Key job responsibilities- Own the architecture and technical design of GenAI and Big Data platforms, from data ingestion and retrieval to model integration and the end-user experience.- Design and build the Finance Analyst GenAI chatbot, including retrieval, grounding, evaluation, and safety of responses over finance-specific data.- Break down ambiguous financial and product requirements into clear technical designs and drive them from prototype to production launch.- Set and enforce engineering standards for operational excellence, security, testing, and deployment safety across the team.- Mentor engineers, raise the design-review bar, and act as a force multiplier for the broader Controllership Engineering org.- Partner with Product, Finance, and Data Science stakeholders to align technical decisions with real analyst workflows and business outcomes.- Drive operational excellence by reducing manual toil, improving reliability, and removing recurring sources of defects.