Backend Engineer - Personalization

6 days ago

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Spotify

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Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

📋 Description

• On the Personalization Team, we seek to understand the audio world better than anyone else so that we can make great recommendations to every individual person and keep the world listening. • Every day, hundreds of millions of people all over the world use the products we build, from Podcast Feeds to Discovery Weekly to DJ. • We're a team of technologists, product insight experts, designers, and product managers in Boston, New York, Stockholm, and London. • Spotify is looking for a Backend Engineer to join the Search team. • Our mission is to help users efficiently find and discover content. • We are a highly collaborative team of engineers from multiple disciplines who are passionate about new challenges, product innovation, and building highly scalable distributed systems. • We have experience in using new technologies to quickly prototype experiences as well as in building systems that serve content at scale for hundreds of millions of users.

🎯 Requirements

• You have experience writing distributed, high-volume Java services and know how to deploy and keep them running in production. • You feel comfortable reading and writing Python code. • You have a good understanding of data structures and algorithms and understand how to apply them to design pragmatic solutions. • You have excellent analytical and problem-solving skills and can communicate your ideas to technical and non-technical audiences. • You love working in an environment where you constantly experiment and iterate quickly. • You believe data is the most powerful tool for informed decision-making. • You care about quality and you know what it means to ship high-quality code. • You have practical experience with Kubernetes. • You have practical experience managing and operating scalable search engines like ElasticSearch or Vespa.