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SDE II, Sales Data Services (SDS)

Amazon.com Inc
  • Seattle, WA
    3 days ago

    Job Description

    Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high-quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you're interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you've come to the right place.

    We are looking for a Software Development Engineer to join our team and help enhance MCP data retrieval and analytics tools, the backbone that powers our AI agents. You will design and implement the systems that aggregate, structure, and serve advertiser context to our agents, enabling AI-driven workflows that help account teams deliver better outcomes for advertisers at scale.This is a greenfield opportunity to define how advertiser knowledge is represented, retrieved, and reasoned over by autonomous agents. You will work at the intersection of large-scale data systems, Generative AI, and production agent frameworks to build context services that are fast, reliable, and rich enough to power intelligent sales workflows.

    Why You Will Love This Opportunity

    • Impact at scale: Your work powers AI agents used by thousands of account team members serving Amazon"s largest advertisers globally.
    • Greenfield architecture: The advertiser context center is being built now, you"ll shape the data models, retrieval patterns, and APIs from the ground up.
    • AI-native development: Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production.
    • Entrepreneurial team: We move fast, experiment often, and ship real products. Small team, big mandate.
    • Career growth: Amazon Advertising is one of the fastest growing businesses at Amazon, with high visibility to senior leadership.

    Key job responsibilities

    • Design and build scalable services that aggregate, transform, and serve advertiser context (account history, campaign performance, deal data, behavioral signals) to AI agents in real time.
    • Develop APIs and data retrieval layers that enable agents to access structured and unstructured advertiser intelligence with low latency and high reliability.
    • Build and optimize retrieval-augmented generation pipelines that surface relevant advertiser context to LLM-based agents at inference time.
    • Partner with Software developers, PMTs and Business Intelligence Eng to integrate machine learning models (recommendations, segmentation, forecasting) into the agent context layer.
    • Contribute to our agent architecture, including memory management, session isolation, tool orchestration, and guardrails for production agent deployments.
    • Own end-to-end delivery of features from design through production, including operational excellence (monitoring, alarming, runbooks).
    • Drive technical decisions on data modeling, storage strategies, and system architecture for high-throughput, low-latency context services.
    • Participate in code reviews, design reviews, and operational on-call rotations.

    Numbers & Facts

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

    • Advertisingunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Business Growthunmatched
    • Business Intelligenceunmatched
    • Campaignsunmatched
    • Code Reviewsunmatched
    • Customer Relationsunmatched
    • Data Analysisunmatched
    • Data Modelingunmatched
    • Data Recoveryunmatched
    • Data Storageunmatched
    • Entrepreneurshipunmatched
    • Forecastingunmatched
    • High Reliabilityunmatched
    • High Throughputunmatched
    • Kindleunmatched
    • Large-Scale Systemsunmatched
    • Leadershipunmatched
    • MCP - Microsoft Certified Professionalunmatched
    • Machine Learningunmatched
    • Memory Managementunmatched
    • Mobile Devicesunmatched
    • On Callunmatched
    • Operational Auditunmatched
    • Product Shipmentsunmatched
    • Production Systemsunmatched
    • Salesunmatched
    • Scalable System Developmentunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • System Architectureunmatched
    • eCommerceunmatched

    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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