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Software Development Engineer, Catalog System Services - SPCL

Amazon.com Inc
  • Seattle, WA
    5 days ago

    Job Description

    As a Software Development Engineer II in the SPCL (Selling Partner Close Looping) team, you will design and build innovative solutions that enhance how millions of customers discover and shop for related products across Amazon"s global marketplaces. Working with billions of product variation relationships (sizes, colors, styles), you"ll leverage cloud computing, machine learning, and Large Language Models to ensure variation data quality and consistency. Your work will directly impact customer shopping experiences, making it easier for them to navigate between product variants and find the right version of a product that meets their needs.

    Key job responsibilities

    • Design and develop scalable services that measure, validate, and improve variation relationship quality across billions of products
    • Implement sophisticated algorithms to ensure consistency in variation theme attributes (size, color, style) across all global marketplaces
    • Build innovative GenAI solutions using Large Language Models to automatically evaluate and enhance variation quality
    • Create robust feedback mechanisms that enable continuous improvement of variation data
    • Develop tooling and APIs that help Selling Partners address product variation quality issues
    • Collaborate with cross-functional teams to implement solutions that enhance customer discovery experiences
    • Participate in architectural decisions that balance performance, cost, and customer experience

    A day in the life

    • Write and review high-quality, well-tested code in languages such as Java and Python
    • Collaborate with team members on design documents and architectural decisions
    • Analyze data to identify variation quality issues and measure improvement impact
    • Attend daily stand-ups and participate in sprint planning/retrospective meetings
    • Work with product managers to scope and prioritize new features
    • Debug and resolve production issues while maintaining service reliability
    • Monitor system performance and optimize for scale and efficiency
    • Stay current with latest ML/AI technologies and evaluate their potential application
    • Mentor junior engineers and provide technical guidance

    About the team

    The SPCL team sits within Amazon"s Catalog Systems division and is responsible for ensuring customers can easily navigate between related product options. We build systems at massive scale, processing billions of product relationships that power shopping experiences across all Amazon marketplaces. Our team maintains a high bar for operational and software engineering excellence while fostering a collaborative and supportive culture. We work closely with data scientists, product managers, and business stakeholders to continually improve the quality of variations in Amazon"s catalog, directly enhancing the customer shopping journey.

    Numbers & Facts

    LocationSeattle, WA
    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

    • Algorithmsunmatched
    • Application Programming Interface (API)unmatched
    • Architectural Servicesunmatched
    • Cloud Computingunmatched
    • Continuous Improvementunmatched
    • Cross-Functionalunmatched
    • Customer Experienceunmatched
    • Data Analysisunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Debugging Skillsunmatched
    • Design Documentunmatched
    • Establish Prioritiesunmatched
    • Identify Issuesunmatched
    • Javaunmatched
    • Machine Learningunmatched
    • Machine Toolunmatched
    • Mentoringunmatched
    • Modeling Languagesunmatched
    • Partner Salesunmatched
    • Performance Analysisunmatched
    • Performance Tuning/Optimizationunmatched
    • Plan Meetingsunmatched
    • Problem Solving Skillsunmatched
    • Python Programming/Scripting Languageunmatched
    • Quality Managementunmatched
    • Quality Metricsunmatched
    • Sales Closing Skillsunmatched
    • Scalable System Developmentunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Sprint Planningunmatched
    • Sprint Retrospectiveunmatched
    • Standup Meetingsunmatched
    • Systems Engineeringunmatched
    • Team Playerunmatched
    • Technical Leadershipunmatched

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