
Join Spotify’s Personalization Team as a Backend Engineer and help shape how hundreds of millions of people around the world discover and enjoy music and podcasts. You’ll work on cutting-edge backend systems, APIs, and data pipelines that power personalized recommendations like Discover Weekly and Daily Mix. This is your chance to collaborate with world-class engineers, data scientists, and product managers to build innovative features at global scale while pushing the boundaries of music personalization technology.
- Company: Spotify
- Location: New York, NY · Remote US (Home Mix)
- Type: Full-time
- Base Range (US): $125,562–$179,374 + equity
- Design backend systems and APIs; orchestrate reliable data pipelines at global scale.
- Architect, develop, and operate Java services used by millions of listeners.
- Leverage Spotify’s extensive datasets to power top-tier music recommendations.
- Act as a technical leader within an autonomous, multi-functional agile team.
- Collaborate with engineers, PMs, and designers to tackle ambitious personalization problems.
- Contribute to and influence backend architecture across Spotify’s developer community.
- Innovate during regular hack days and bi-annual hack weeks.
- Experienced backend engineer with a track record of Java services at scale.
- Comfortable partnering with stakeholders to define requirements and scalable APIs/systems.
- Bonus experience: gRPC, GCP, BigQuery, Bigtable, Kubernetes.
- Curiosity for big data processing: Apache Beam, Dataflow, Flyte.
- Strong foundation in system design, data structures, and algorithms.
- Quality-focused, iterative, and data-informed in decision-making.
- Work where you’re most effective within North America (US-based, Home Mix).
- Team collaborates on Eastern Time (ET).
- Primary hub: New York, NY.
- Health insurance
- Six months paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off + 13 flexible paid holidays + paid sick leave