Backend Engineer
Bonfire, Music
Link copied to clipboard.
Apply now
Apply
Permanent
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.
You’ll join the Bonfire team, where we focus on building the entire end-to-end campaign booking experience, from intuitive frontend interfaces to the backend services that power them. As a member of the Bonfire team, you’ll own the full lifecycle of campaign management tools, ensuring that the flow—from the first click to the final execution—is seamless, reliable, and scalable.
What You'll Do
- Build backend services that power campaign booking and management flows
- Design and develop APIs that support campaign creation and execution
- Work closely with product and design to bring new features to life
- Improve system scalability, performance, and reliability
- Contribute to a collaborative engineering culture through code reviews and knowledge sharing
- Help evolve our architecture as we grow and scale
Who You Are
-
You have experience developing backend systems using Java
-
You know how to design APIs and work with service-based architectures
-
You write clean, maintainable, and well-tested code
-
You care about performance, scalability, and system reliability
-
You enjoy working collaboratively in cross-functional teams
-
You are curious, proactive, and motivated to learn and grow
-
You have experience contributing to production systems
-
You are driven to leverage AI to improve our systems, and eager to find practical ways to apply it
Where You'll Be
- 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.
Learn about life at Spotify
Our global benefits
Similar jobs
Senior Machine Learning Engineer, Zeitgeist, Personalization
Boston or New York
Boston or New York