Spotify seeks to understand the world of music and podcasts better than anyone else to make great recommendations to every individual person and keep the world listening. The company needs to build systems that power smarter, more intuitive features across Spotify, impacting how the world experiences music.
Requirements
- Proven experience in backend and data engineering, including building scalable services, reliable data pipelines, and robust data platforms.
- Strong understanding of data systems, distributed systems, and cloud-based infrastructure (e.g., Google Cloud Platform), and are comfortable working with large datasets using tools such as SQL and BigQuery.
- Collaborate effectively with ML, Data, and Backend teams, and understand the challenges of supporting ML models in production environments.
- Prioritize code quality, data observability, and monitoring, and have experience working directly with stakeholders to build scalable, reusable APIs and systems.
Responsibilities
- Architect, develop, and operate scalable and highly available distributed systems.
- Collaborate with internal stakeholders to design scalable backend systems and data pipelines that power ML-based music recommendations and personalized experiences.
- Partner with ML, Data, and Backend Engineers to improve the reliability, observability, and efficiency of our data and backend stack.
- Advocate for modern engineering practices—e.g., data quality, monitoring, reproducibility—across the team and broader org.
- Contribute to strategic decisions around data architecture and technical direction.
- Work on what you want during regular hack days and bi-annual hack weeks.
Other
- Take initiative to improve systems, mentor peers across disciplines, and drive technical decisions independently.
- Thrive in fast-paced environments that value experimentation, iteration, and continuous learning.
- Work location within the North America region.
- Operate within the Eastern Standard time zone for collaboration.
- Spotify is an equal opportunity employer.
