Backend Engineer - Personalization

Spotify, the world's leading audio streaming platform, is seeking a Backend Engineer II for their Personalization team. This role focuses on developing and scaling podcast recommendations across Spotify's Home Page and other key surfaces. The position combines technical expertise with product understanding to enhance the listening experience for millions of users worldwide.

The role sits within the Home Podcasts Squad, which is responsible for developing ranking models that power podcast recommendations across various surfaces including the Home Page, Podcast Subfeed, and Now Playing View. The team works on complex recommendation problems requiring strong collaboration across multiple Studios including Core-X, AIFoundations, and Sessions.

As a Backend Engineer II, you'll be working with Java services, building scalable systems and APIs that directly impact hundreds of millions of users daily. The role requires strong technical skills in distributed systems, experience with high-volume services, and an understanding of big data processing technologies. Additional experience with technologies like gRPC, GCP, BigQuery, and Bigtable is valued.

The position offers competitive compensation ranging from $125,561 to $179,374 plus equity, comprehensive benefits including health insurance, six months of parental leave, and flexible work arrangements. You'll be part of a diverse, inclusive workplace that values different perspectives and backgrounds. The role allows for remote work within the North Americas region, operating in the Eastern Standard time zone for collaboration.

This is an excellent opportunity for an experienced backend engineer who is passionate about building scalable systems, loves working with data, and wants to impact how millions of people discover and enjoy audio content. You'll be at the forefront of recommendation technology while working with a world-class engineering team in a culture that encourages experimentation and innovation.