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.
What You'll Do
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
Who You Are
You have experience building backend systems using Java or similar languages
You are comfortable working across systems and are interested in learning beyond pure backend (e.g., data or ML systems)
You are driven to leverage AI to improve our systems, and eager to find practical ways to apply it
You have experience working with or exposure to Scala, Python, or data/ML workflows; you are excited to grow into a T‑shaped engineer with breadth across backend, data, and ML‑adjacent domains; you care about ownership and are motivated to take responsibility for evolving critical systems
You collaborate effectively with cross-functional teams, including personalization and data partners
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.
The United States base range for this position is $132,949- $189,927 equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward‑thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
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In Summary: OASIS builds and operates the systems that power promotion delivery and optimization within Discovery Mode . Backend systems that deliver promotion scores to personalization systems (PZN) Build and maintain services that support promotion allocation and delivery at scale . The United States base range for this position is $132,949- $189,927 equity .
En Español:
En la Misión de Música, construimos las herramientas y servicios que permiten a los creadores expresarse, promover su trabajo y conectar con los fanáticos. Discovery Mode es una herramienta promocional clave que ayuda a artistas, etiquetas y licenciantes a aumentar su audiencia mientras se mantiene una experiencia del oyente de alta calidad. Buscamos un ingeniero enfocado en Backend para unirse al equipo de OASIS. Usted formará parte de un grupo pequeño e impactante de ingenieros en los datos y el aprendizaje automático, que posee una pieza fundamental de infraestructura que permite la entrega de promoción a escala. Lo que usted hará Poseer y desarrollar sistemas backend que proporcionan puntuaciones de promoción para sistemas de personalización (PZN) Construir y mantener servicios que apoyan la asignación y distribución de promoción a escala Colaborar estrechamente con ingenieros del aprendizaje de máquinas e ingenieros de datos para mejorar la calidad de las señales y el rendimiento del sistema Contribuir a decisiones de diseño de sistemas que afectan a una parte crítica del ecosistema de descubrimiento de Spotify; mejorar la fiabilidad, escalabilidad y observabilidad de la infraestructura existente Socio con equipos interfuncionales para garantizar una integración perfecta con flujos de trabajo de personalización Gradualmente expandir su alcance en áreas adyacentes como oleoductos de datos o sistemas ML-adjacentos ¿Quiénes son? ¡Estás interesado en construir sistemas basados Unidos donde los sistemas operativos de base de datos similares son cómodos y trabajan con sistemas de datos amplias y están disponibles dentro de la zona norte de EE. Los beneficios disponibles para este puesto incluyen el seguro de salud, seis meses de licencia parental pagada, 401 ((k) plan de jubilación, subsidio mensual por comida, 23 días libres pagados, 13 vacaciones flexibles pagadas y licencias de enfermedad. Estos rangos pueden modificarse en el futuro. Spotify es un empleador con igualdad de oportunidades. Usted está bienvenido en Spotify por lo que sea, sin importar de dónde venga, cómo se vea o qué toca en sus auriculares. Nuestra plataforma es para todos, así como nuestro lugar de trabajo. Cuanto más voces hemos representado e amplificado en nuestra empresa, más prosperaremos, contribuiremos y pensaremos hacia adelante! Así que traiganos su experiencia personal, sus perspectivas y sus diferencias. Todo lo que hacemos está impulsado por nuestro amor a la música y al podcasting. Hoy en día, somos el servicio de suscripción de audio streaming más popular del mundo. #J-18808-Ljbffr