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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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.