Home › Companies › Spotify › Backend Engineer - Music
Backend Engineer - Music
Spotify · New York, NY · On Site · Deleted · Lever
Job facts
| Field | Value |
|---|---|
| Company | Spotify |
| Title | Backend Engineer - Music |
| Normalized title | - |
| Department / team | Engineering / Music |
| Location | New York, NY, United States |
| Work model | On Site |
| Employment type | Permanent |
| Salary | - |
| Status | deleted |
| ATS provider | Lever |
| Posted / first seen | 2026-05-01 / 2026-05-29 |
| Changed / last seen | 2026-06-12 / 2026-06-10 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Spotify. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Spotify |
| Source | 8f76458c-d40f-4324-bb14-bb757d1b7058 |
| ATS provider | Lever |
Description
We are seeking a Backend Engineer to join our Artist-First AI Music lab. Our team designs and builds state-of-the-art generative products for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:
Partnerships with record labels, distributors, and music publishers : We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
Choice in participation : We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
Fair compensation and new revenue : We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.
Artist-fan connection : AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.
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.
What You'll Do
Build backend systems that support generative AI usage at scale
Design and develop APIs that power AI creation flows, content consumption, and reporting
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 interested in applying AI to improve systems and exploring practical use cases
Where You'll Be
This role is based in New York, NY
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
We ask that you come in 3 times per week
Full job record
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| Org ID | 72fe3b06-0d08-4f7d-9dfd-beedeeda0a25 |
| Source ID | 8f76458c-d40f-4324-bb14-bb757d1b7058 |
| Board ID | 8f76458c-d40f-4324-bb14-bb757d1b7058 |
| Provider | lever |
| Provider Job Key | 0f8f7921-bcb4-444c-8ceb-4d3fa6459493 |
| Title | Backend Engineer - Music |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | New York, NY |
| Department | Engineering |
| Team | Music |
| Employment Type | Permanent |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.lever.co/spotify/0f8f7921-bcb4-444c-8ceb-4d3fa6459493 |
| Apply URL | https://jobs.lever.co/spotify/0f8f7921-bcb4-444c-8ceb-4d3fa6459493/apply |
| First Seen At | 2026-05-29 07:00:52Z |
| Last Seen At | 2026-06-10 07:56:48Z |
| Last Checked At | 2026-06-12 07:56:49Z |
| Last Changed At | 2026-06-12 07:56:49Z |
| Inactive At | 2026-06-12 07:56:49Z |
| Source Posted At | 2026-05-01 18:25:53Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=spotify/date=2026-06-10/2026-06-10T07-56-48-461Z-8a3661f4931855f53b37a2018ca5fa51dd4b2694b62f534e4829a49585b85796.json |
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