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Software Development Engineer, Amazon Ads Geographic Targeting

Amazon.com Inc

  • Denver, CO
  • 5 days ago

    Highlights

    This is a hands-on engineering role where you"ll write production code, lead design reviews, mentor engineers, and own systems that directly affect how hundreds of thousands of advertisers reach customers. Amazon Ads is building the systems that determine where billions of ad impressions land geographically every day, and we need a Software Development Engineer to lead that work.

    Numbers & Facts

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

    Description

    Application deadline: Sep 28, 2026

    Amazon Ads is building the systems that determine where billions of ad impressions land geographically every day, and we need a Software Development Engineer to lead that work. You"ll own the architecture that scores location signals in real time, turns those scores into bid-time features, and connects advertiser targeting to the physical world.

    The Geo Targeting team sits at the intersection of ad tech, large-scale data infrastructure, and applied ML. Our systems process billions of bid requests daily, fusing multiple location signal sources to determine where an impression is coming from and how confident we are in that answer. The challenge is that location signals are noisy, often conflicting, and vary in reliability by country, device type, and signal source. You"ll design the systems that make sense of that noise at bid-time latency, at global scale, under evolving privacy constraints. This is a hands-on engineering role where you"ll write production code, lead design reviews, mentor engineers, and own systems that directly affect how hundreds of thousands of advertisers reach customers.

    Key job responsibilities

    • Build and extend location signal processing systems that ingest, score, and resolve geo data sources at bid-time latency
    • Implement and maintain data pipelines that connect address and device signals to impression-level location inference
    • Own component-level integration between location intelligence systems and the bid optimization stack
    • Contribute to solutions for international coverage gaps, working with senior engineers to identify and address unreliable location inference methods
    • Drive operational excellence within your scope of geo infrastructure ownership, including latency monitoring, accuracy measurement, and cost efficiency
    • Participate in design reviews and mentor junior engineers on your team

    A day in the life

    Your days are anchored in code, but the problems change. One morning you"re building a pipeline that processes location signals across billions of daily requests. That afternoon you"re digging into data to figure out why accuracy drops for a specific carrier in Germany. The next day you"re in a design review with scientists and bidding engineers, working through how to turn a noisy signal into something the bidder can act on in microseconds. You own what you build, from design through production operations. You also mentor engineers on your team and interview candidates. The problems are hard, the scale is massive, and the impact is direct.

    About the team

    We build the location intelligence that powers geographic targeting across Amazon"s demand-side platform. Our customers are advertisers who need to reach people in specific places, from a single neighborhood to an entire country. The team is small and technical. Engineers work directly with scientists, product managers, and partner engineering teams across bidding, targeting, and measurement. You will have real ownership and direct influence on what we build and how we build it. We value clarity in thinking, simplicity in design, and rigor in operations. We are growing, and the people we hire now will define the team"s technical culture.

    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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