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Software Development Engineer, Amazon Music, Partner Payments & Reporting

Amazon.com Inc
  • San Francisco, CA
    21 days ago

    Job Description

    Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join our team for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music.

    Amazon Music"s Partner Payments and Reporting team serves as the critical bridge between every listener and content partner, building end-to-end platforms that process every play activity and deliver accurate, on-time payments to music partners worldwide. These teams gather data from multiple internal sources, enrich it through sophisticated data pipelines, and deliver external reports while processing royalties at unprecedented scale using distributed systems and big data technologies. The teams are building multiple products from scratch to support Amazon Music"s continued growth, focusing on platforms that scale with business demands while solving some of the hardest technical problems in music licensing, vendor royalties, and partner data delivery.

    Key job responsibilities

    As a Software Development Engineer on the Partner Payments and Reporting teams, you will design and build scalable backend services that process streaming data at massive scale, handling payment calculations and royalty distributions for music partners across multiple countries. You will develop and maintain data pipelines that gather, enrich, and transform data from multiple internal systems to generate accurate external datasets and reports for content partners. You will build end-to-end reporting platforms including critical data validations, data lakes, delivery systems, and audit mechanisms to ensure payment accuracy and completeness. You will be solving distributed system challenges involving big data processing, working at the limits of scale to handle billions of play activities and financial transactions.

    You will collaborate across multiple teams including technology, business, and operational stakeholders to deliver projects that support music licensing requirements, and contribute to platform innovation by building new systems from the ground up that anticipate future music licensing demands and enable continued business agility, using Gen AI technologies. You will do this while ensuring data quality and reliability as the last line of defense between Amazon and external music partners, maintaining the trust of labels, publishers, and collection societies worldwide

    About the team

    Come join a team that"s building next generation business and financial automation tools to support licensing and payment business obligations, leveraging the best in full-stack AWS technologies. We build critical systems to compute royalties, disburse payments and provide analytical reporting to digital content partners, worldwide.

    Our team develops systems that simplify and automate complex royalty payment and accounting rules, allowing us to eliminate financial risk and focus on delighting our customers. We strive to hold a high bar in paying our content partners accurately, completely and on-time.

    Numbers & Facts

    LocationSan Francisco, 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

    • Amazon Alexaunmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Big Dataunmatched
    • Business Operationsunmatched
    • Customer Relationsunmatched
    • Data Collectionunmatched
    • Data Managementunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Data Setsunmatched
    • Distributed Computingunmatched
    • Financial Riskunmatched
    • Financial Transactionsunmatched
    • Licensingunmatched
    • Musicunmatched
    • Podcastingunmatched
    • Product Developmentunmatched
    • Reporting Skillsunmatched
    • Royaltiesunmatched
    • Royalty Accountingunmatched
    • Royalty Reportingunmatched
    • Scalable System Developmentunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Time Managementunmatched
    • Vendor/Supplier Licensingunmatched

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