高级后端工程师，家居表面
Senior Backend Engineer, Home Surfaces
个性化团队让每位听众决定接下来听什么变得更简单、更有趣。从 Blend 到 Discover Weekly，我们打造了 Spotify 最受欢迎的功能之一。我们通过比任何人都更深入了解音乐和播客的世界来实现这些功能。加入我们，你将通过为每一位用户做出优秀的推荐，持续吸引数百万用户收听。
主页播客小组构建了支撑播客推荐的系统，这些系统运行在 Spotify 最重要的分发界面中，包括主页、播客订阅源和正在播放视图。我们开发这些推荐背后的排序系统，并创建如基于主题的书架和跨内容推荐等体验，帮助听众发现他们喜欢的播客。
我们正在寻找一位高级后端工程师，负责构建和演进使这些体验成为可能的后端基础设施和数据管道。你将参与系统开发，这些系统用于识别、检索、排序和过滤相关播客内容，从而为全球数百万听众创造个性化的体验。
该职位在美国的薪资范围为 164,448 至 234,926 美元，加上股权。该职位提供的福利包括健康保险、六个月带薪育儿假、401(k) 养老计划、每月餐饮补贴、23 天带薪假期、带薪灵活节假日以及带薪病假。此薪资范围可能会在未来进行调整。
Spotify 是一家平等机会雇主。无论你来自哪里、外貌如何，或耳机里播放的是什么，你都能在 Spotify 找到属于自己的位置。我们的平台属于每个人，我们的工作场所也是如此。我们业务中代表和放大越多的声音，我们就能更加繁荣发展、贡献力量并保持前瞻性！所以，请带来你的个人经历、观点和背景。正是我们的差异，让我们拥有不断革新世界聆听方式的力量！
在 Spotify，我们热衷于包容性，确保整个招聘流程对每个人都是可访问的。我们在面试过程中有办法请求合理的便利措施，并协助满足你的需求。如果你在申请或面试过程的任何阶段需要便利措施，请告诉我们——我们会尽一切努力支持你。
Spotify 在 2008 年推出时彻底改变了音乐聆听方式。我们的使命是释放人类创造力的潜力。
查看英文原文
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
The Home Podcasts Squad builds the systems that power podcast recommendations across some of Spotify’s most important distribution surfaces, including Home, the Podcast Subfeed, and the Now Playing view. We develop the ranking systems behind these recommendations and create experiences such as topic-based shelves and cross-content recommendations that help listeners discover podcasts they'll love.
We’re looking for a Senior Backend Engineer to build and evolve the backend infrastructure and pipelines that make these experiences possible. You’ll work on systems that identify, retrieve, rank, and filter relevant podcast content to create personalized experiences for millions of listeners around the world.
The United States base range for this position is $164,448 - $234,926, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
What You'll Do
- Architect, build, and evolve backend systems that support personalization and recommendations at Spotify scale.
- Design reliable, scalable, and performant services capable of supporting high-volume recommendation workloads.
- Build and improve the infrastructure and pipelines that enable us to efficiently retrieve, rank, and deliver personalized podcast recommendations.
- Partner closely with Product Managers, Engineers, Data Scientists, and Designers to develop new recommendation experiences and define experimentation strategies.
- Take ownership of backend systems through their full lifecycle, from technical design and implementation through deployment, monitoring, and continued improvement.
- Use experimentation and data to understand how changes to our systems affect the listener experience and inform future development.
- Navigate ambiguous technical problems, make thoughtful engineering trade-offs, and contribute to the long-term architecture of our personalization systems.
- Share your knowledge and engineering practices with teammates, helping us build reliable systems and grow together as a team.
Who You Are
- You have experience building production systems with Java.
- You have experience designing distributed, high-volume services and know how to deploy, operate, and evolve them in production.
- You have worked directly with stakeholders to understand requirements and design APIs and systems that can be adopted broadly rather than relying on one-off implementations.
- You have a strong understanding of system design, data structures, and algorithms.
- You have an interest in large-scale data processing technologies and how they can support personalized product experiences.
- You are comfortable working in an environment where teams experiment, learn, and iterate quickly.
- You use data to inform technical and product decisions and care about understanding the impact of what you build.
- You have experience with technologies such as gRPC, GCP, BigQuery, Bigtable, or similar tools and platforms.
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
- This team operates within the Eastern Standard time zone for collaboration.