Amazon.com Inc logo

Senior Software Development Engineer, AWS Fintech

Amazon.com Inc
  • Seattle, WA
    6 days ago

    Job Description

    Are you interested in building high-performance, globally scalable Financial systems that support AWS"s current and future growth? Are you seeking an environment where you can drive innovation? Does the prospect of working with top engineering talent get you charged up? If so, AWS Fintech is for you!

    AWS Fintech Team is looking for a results-oriented, innovative software development engineer, who can help us create the next generation of distributed, scalable financial systems. Our ideal candidate thrives in a fast-paced environment, relishes working with big data, enjoys the challenge of highly complex business contexts that are typically being defined in real-time. We need someone to design and develop services that facilitate global financial transactions worth billions (USD) annually.

    A Senior Software Development Engineer (Sr. SDE) at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts customers around the world. You can expect to design flexible and scalable solutions, and work on some of the most complex challenges in large-scale computing by utilizing your skills in data structures, algorithms, and object oriented programming. Coming to Amazon gives you the opportunity to work on a small development team in one of our many rapidly growing organizations.

    Key job responsibilities

    • Drive technical vision and architecture for a cohesive finance platform, unifying multiple offerings into a seamless builder experience.
    • Design and implement critical-path systems; own the architecture from whiteboard to production, making decisions that balance scalability with speed-to-market.
    • Define and raise engineering standards across the team - code quality, operational readiness, testing patterns, and documentation.
    • Solve hard technical problems: sub-second OLAP queries over petabyte-scale financial datasets, building trust through lineage spanning hundreds of pipelines, and designing AI-driven root-cause analysis for data quality at enterprise scale.
    • Influence data strategy and investment decisions, partnering with Principal Engineers and senior leaders to shape where we invest next.
    • Mentor engineers and raise the hiring bar - grow the people around you and cultivate a culture of engineering excellence.
    • Research, prototype, and publish - produce design documents, POCs, and recommendations that broadly influence technical and business leaders across AWS Fintech.
    • Identify hotspots and eliminate duplicate work across teams - think in platforms, build with empathy for the engineers who consume your systems.

    A day in the life

    • Design and code review sessions - writing and reviewing critical-path code, providing architectural guidance to the team.
    • Deep-dive into system performance, operational metrics, and customer pain points to identify improvement opportunities.
    • Collaborate with Product Managers, Principal Engineers, and partner teams to refine requirements and align on technical direction.
    • Prototype and evaluate new technologies, frameworks, or architectural patterns to solve emerging challenges.
    • Participate in operational reviews, on-call rotations, and incident response - ensuring systems meet the reliability bar AWS Finance requires.
    • Mentor team members through pairing, design discussions, and code reviews.
    • Author and iterate on design documents, technical specs, and architectural decision records.
    • Sprint planning and backlog refinement - prioritizing technical debt, feature work, and operational improvements.

    Numbers & Facts

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

    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

    Skills

    • Acceptance Testingunmatched
    • Algorithmsunmatched
    • Amazon Web Services (AWS)unmatched
    • Architectural Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Backlog Prioritizationunmatched
    • Big Dataunmatched
    • Code Reviewsunmatched
    • Data Analysisunmatched
    • Data Qualityunmatched
    • Data Setsunmatched
    • Data Structuresunmatched
    • Design Documentunmatched
    • Documentationunmatched
    • Financeunmatched
    • Financial Systemsunmatched
    • Financial Transactionsunmatched
    • Global Financial Marketsunmatched
    • Incident Responseunmatched
    • Investment Strategyunmatched
    • Mentoringunmatched
    • OLAP (OnLine Analytical Processing)unmatched
    • Object Oriented Programming (OOP)unmatched
    • On Callunmatched
    • Operational Auditunmatched
    • Operational Improvementunmatched
    • Performance Metricsunmatched
    • Problem Solving Skillsunmatched
    • Prototypingunmatched
    • Root Cause Analysisunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Sprint Planningunmatched
    • System Operationsunmatched
    • Systems Reliabilityunmatched
    • Systems Scalabilityunmatched
    • Technical/Engineering Designunmatched
    • Test Patternsunmatched
    • Writing Skillsunmatched

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