Amazon.com Inc logo

Software Development Engineer, Measurement, AdTech, and Data Science

Amazon.com Inc

  • Seattle, WA
  • 19 days ago

    Highlights

    We work across a rich technology stack-combining AWS services like EMR, Kinesis, and AWS Batch with open-source technologies such as Spark and Presto-to deliver fast, reliable measurement at the speed advertisers demand. We harness the latest AWS big data technologies to process over 50 billion new events per day across petabyte-scale clusters, and we"re constantly inventing new architectures to stay ahead of our ever-growing scale.

    Numbers & Facts

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

    Description

    Are you energized by building systems that operate at Internet scale? Passionate about reinventing how ad performance is measured in the online retail world? Eager to grow alongside world-class engineers who push the boundaries of what"s possible? If so, we want to hear from you.

    We empower advertisers to optimize ad spend and allocate budgets with confidence by delivering accurate, actionable, and timely conversion measurement across all Amazon ad products. Using deterministic techniques, we produce estimates that are the fastest in the industry - without compromising quality. We harness the latest AWS big data technologies to process over 50 billion new events per day across petabyte-scale clusters, and we"re constantly inventing new architectures to stay ahead of our ever-growing scale.

    This is your opportunity to build the systems behind measurement decisions that directly impact billions in advertising spend - at a pace and scale few teams in the world can match.

    Key job responsibilities

    • Design, develop, and deliver software that produces measurement data consumed across Amazon"s full advertising suite - spanning display, search, native, and video
    • Build and maintain petabyte-scale data pipelines and services using technologies like Spark, EMR, and Java, inventing new big data paradigms to keep pace with rapid growth
    • Apply a variety of architectural approaches and design patterns to deliver maintainable, scalable, and well-tested solutions in a high-throughput environment
    • Navigate complex software challenges with creative problem-solving, adapting to evolving technical requirements and shifting priorities
    • Collaborate with cross-functional partners - including scientists, product managers, and engineers across teams - to define requirements and deliver high-quality features end-to-end
    • Drive engineering best practices including code reviews, testing strategies, operational excellence (alarms, runbooks, monitoring), and continuous improvement
    • Contribute to technical design discussions, identify trade-offs, and propose solutions that balance performance, cost, and long-term maintainability

    About the team

    The Measurement, AdTech, and Data Science (MADS) team defines and produces the metrics advertisers rely on to analyze the performance of their ad investments. Our charter is focused on the systems responsible for computing and distributing estimated conversions at massive scale. We work across a rich technology stack-combining AWS services like EMR, Kinesis, and AWS Batch with open-source technologies such as Spark and Presto-to deliver fast, reliable measurement at the speed advertisers demand.

    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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