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Software Development Engineer II, Bot Management, Amazon Traffic Engineering

Amazon.com Inc
  • Sunnyvale, CA
    18 days ago

    Job Description

    The Bot Management team within Traffic Engineering uses machine learning to separate human visitors from automated traffic and to detect and stop abusive bots in real time. As a Software Development Engineer II on this team, you will design, build, and operate the ML platform that powers these detection systems. You will take models from research into production, own them through training, evaluation, serving, and monitoring, and partner with Applied Scientists to continuously improve detection accuracy and system performance. If you want to work on high-scale, adversarial problems where your code directly protects customers and platform integrity, this role is for you.

    Key job responsibilities

    • Design, build, and operate production ML platform components for real-time bot detection, owning the full lifecycle from model training and evaluation through serving and monitoring.
    • Write high-quality, maintainable code and actively participate in code reviews, providing meaningful feedback to teammates and coaching others on engineering best practices.
    • Partner with Applied Scientists to operationalize research models into reliable, low-latency production systems that process traffic at Amazon scale.
    • Identify root causes of operational issues and implement permanent fixes, continuously improving system reliability, latency, and detection quality.
    • Collaborate across Traffic Engineering and related teams to align technical solutions with platform-wide requirements for scalability, performance, and security.

    A day in the life

    You will start your day reviewing operational metrics and addressing any alerts from the systems you own. From there, you might pair with a teammate on a design review, prototype a new feature, or refine an existing service to improve performance. Between code reviews and mentoring sessions with newer engineers, you will document your designs and share knowledge so the team can move faster together.

    About the team

    The Bot Management team sits within Amazon"s Traffic Engineering organization, which is responsible for keeping the platform safe and reliable at the scale of every incoming request. Our team applies machine learning to an adversarial problem space where threats evolve constantly, and we build the ML platform that makes rapid detection and response possible. We are a collaborative, technically rigorous group that values learning and inclusive problem-solving. If you are excited about protecting the customer experience at Amazon scale, we would love to hear from you.

    Numbers & Facts

    LocationSunnyvale, CA
    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

    • Best Practicesunmatched
    • Coachingunmatched
    • Code Reviewsunmatched
    • Continuous Improvementunmatched
    • Customer Experienceunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Metricsunmatched
    • Operational Auditunmatched
    • Operations Researchunmatched
    • Performance Managementunmatched
    • Problem Solving Skillsunmatched
    • Production Systemsunmatched
    • Prototypingunmatched
    • Reliability Engineeringunmatched
    • Root Cause Analysisunmatched
    • Scientific Researchunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Systems Reliabilityunmatched
    • Team Playerunmatched

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