Senior Software Engineer, Worldwide Amazon Stores Finance Technology

Job description

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.