Backend Engineer, Music

In the Music Mission, we build the tools and services that enable creators to express themselves, promote their work, and connect with fans. Discovery Mode is a key promotional tool that helps artists, labels, and licensors grow their audience while maintaining a high-quality listener experience.

We are looking for a Backend focused engineer to join the OASIS team. OASIS builds and operates the systems that power promotion delivery and optimization within Discovery Mode. Our work ensures that promotional content isn’t just "surfaced", but is intelligently allocated by balancing complex, competing objectives across our entire ecosystem.

The team is distributed and highly collaborative, working closely with Personalization (PZN) to serve high-quality promotion signals. You’ll be part of a small, impactful group of engineers across data and machine learning, owning a core piece of infrastructure that enables promotion delivery at scale.

• Own and evolve backend systems that deliver promotion scores to personalization systems (PZN)

• Build and maintain services that support promotion allocation and delivery at scale

• Collaborate closely with machine learning engineers and data engineers to improve signal quality and system performance

• Contribute to system design decisions that impact a critical part of Spotify’s discovery ecosystem
  Improve reliability, scalability, and observability of existing infrastructure

• Partner with cross-functional teams to ensure seamless integration with personalization workflows
• Gradually expand your scope into adjacent areas such as data pipelines or ML-adjacent systems

We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.

This team operates within the Eastern Standard time zone for collaboration.