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Senior Software Engineer, Worldwide Amazon Stores Finance Technology

Amazon.com Inc

  • Seattle, WA
  • 30+ days ago

    Highlights

    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. 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.

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    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.

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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