The Personalization (PZN) team at Spotify needs to improve the user experience by making it easier and more enjoyable for listeners to decide what to play next. This involves understanding music, podcasts, and audiobooks to provide personalized recommendations to millions of users daily.
Requirements
- You have worked extensively with backend services in Java at high scale.
- You are familiar with the concepts of data modeling, data access, and data storage techniques.
- You are familiar with distributed data processing frameworks like Apache Beam and Apache Spark.
Responsibilities
- Develop, deploy, and operate Java services that impact millions of users.
- Work towards supporting machine learning projects powering the experience that suits each user individually.
- Work with large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform and Apache Beam.
- Deliver scalable, testable, maintainable, and high-quality code.
- Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability.
Other
- Collaborate with other engineers, product managers and team members, tackling learning and leadership opportunities that will arise every single day.
- You want to work on a team employing agile software development processes, data-driven development, and responsible experimentation.
- You value opportunities to work collaboratively.
- This team operates within the Eastern Standard time zone for collaboration
- The United States base range for this position is $160,091 - $228,702 plus equity.
