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Software Development Manager, AWS Payments & Fraud Prevention

Amazon.com Inc

  • Seattle, WA
  • 5 days ago

    Highlights

    You"ll be leading the data ingestion and intelligence team that design and build systems that process millions of events per second, develop machine learning-powered fraud detection processes, and directly contribute to keeping AWS safe. Own and operate a large-scale data ingestion platform processing 18+ billion events per day, ensuring data is ingested, enriched, and transformed in near real-time to power fraud detection and prevention across the organization.

    Numbers & Facts

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

    Description

    Are you passionate about building highly scalable distributed systems that protect millions of customers? Do you want to work at the intersection of big data, real-time intelligence, and fraud prevention? The AWS Payments & Fraud Prevention team is looking for a talented software development manager to help us stay one step ahead of bad actors.

    You"ll be leading the data ingestion and intelligence team that design and build systems that process millions of events per second, develop machine learning-powered fraud detection processes, and directly contribute to keeping AWS safe. Whether it"s architecting a new real-time detection engine, optimizing our graph-based fraud network analysis, or hardening our registration fraud defenses - your work will have immediate, measurable impact at AWS scale.

    Key job responsibilities

    • Own and operate a large-scale data ingestion platform processing 18+ billion events per day, ensuring data is ingested, enriched, and transformed in near real-time to power fraud detection and prevention across the organization.
    • Lead the design, development, and maintenance of real-time intelligence pipelines using Apache Flink for data aggregation, anomaly detection, and usage pattern analysis.
    • Drive the development of a graph database of millions of nodes and edges to model account relationships and surface fraud signals.
    • Ensure high availability, reliability, and scalability of all platform services, including data vending APIs operating at 4,500+ TPS, as business demands and the AWS customer base grow.
    • Own day-to-day team operations, including sprint planning, technical design reviews, operational excellence, and on-call management.
    • Plan and execute the team"s multi-year technical strategy, aligning platform capabilities with evolving business and security needs.
    • Collaborate closely with Applied Scientists to identify and deliver the data products they need to detect and prevent fraud and account compromise faster.
    • Serve as a technical leader with hands-on depth, diving deep with SDEs to review architectures, and resolve platform issues.
    • Ensure platform services meet the needs of all downstream engineering and data science teams across the organization who depend on this team"s products.

    About the team

    The AWS Payments & Fraud Prevention team protects AWS and its customers from fraud, abuse, and account compromise at global scale. We build highly scalable, real-time systems that ingest billions of signals daily, process petabytes of data, and make split-second decisions to stop bad actors - from account registration through the entire customer lifecycle. Our stack includes Apache Flink for stream processing, AWS Neptune for graph-based intelligence, and machine learning models for adaptive detection. We"re a team of builders who care deeply about customer trust and love solving complex problems at massive scale.

    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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