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Senior Backend Engineer, Home Surfaces

Spotify

Company websitespotify.com (Spotify, opens in new tab)

Base salary $164,448  to $234,926

Employer-published annual base salary, USD. Advertised base range in New York, NY +1 more

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  • LocationNew York, NY +1 more
  • WorkplaceRemote
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since
All places named
  • New York, NY
  • Boston, MA

About this job

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

The Home Podcasts Squad builds the systems that power podcast recommendations across some of Spotify’s most important distribution surfaces, including Home, the Podcast Subfeed, and the Now Playing view. We develop the ranking systems behind these recommendations and create experiences such as topic-based shelves and cross-content recommendations that help listeners discover podcasts they'll love.

We’re looking for a Senior Backend Engineer to build and evolve the backend infrastructure and pipelines that make these experiences possible. You’ll work on systems that identify, retrieve, rank, and filter relevant podcast content to create personalized experiences for millions of listeners around the world.

What You'll Do

  • Architect, build, and evolve backend systems that support personalization and recommendations at Spotify scale.
    Design reliable, scalable, and performant services capable of supporting high-volume recommendation workloads.
  • Build and improve the infrastructure and pipelines that enable us to efficiently retrieve, rank, and deliver personalized podcast recommendations.
  • Partner closely with Product Managers, Engineers, Data Scientists, and Designers to develop new recommendation experiences and define experimentation strategies.
  • Take ownership of backend systems through their full lifecycle, from technical design and implementation through deployment, monitoring, and continued improvement.
  • Use experimentation and data to understand how changes to our systems affect the listener experience and inform future development.
  • Navigate ambiguous technical problems, make thoughtful engineering trade-offs, and contribute to the long-term architecture of our personalization systems.
  • Share your knowledge and engineering practices with teammates, helping us build reliable systems and grow together as a team.

Who You Are

  • You have experience building production systems with Java.
  • You have experience designing distributed, high-volume services and know how to deploy, operate, and evolve them in production.
  • You have worked directly with stakeholders to understand requirements and design APIs and systems that can be adopted broadly rather than relying on one-off implementations.
  • You have a strong understanding of system design, data structures, and algorithms.
  • You have an interest in large-scale data processing technologies and how they can support personalized product experiences.
  • You are comfortable working in an environment where teams experiment, learn, and iterate quickly.
  • You use data to inform technical and product decisions and care about understanding the impact of what you build.
  • You have experience with technologies such as gRPC, GCP, BigQuery, Bigtable, or similar tools and platforms.

Where You'll Be

  • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas 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 $164,448 - $234,926, plus 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, paid flexible holidays, and 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.

Source: Spotify on Lever · View original posting (opens in new tab)

This range next to 6 other live Spotify roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Spotify roles with the nearest advertised base floor
RolePublished base
Senior Backend Engineer, Home Surfaces (this listing)$164,448 - $234,926
Senior Software Engineer - Enterprise AI$164,448 - $234,926
Senior Product Manager, Consumer - Audiobooks$168,680 - $210,850
Senior Applied Research Scientist - Personalization$169,157 - $241,653
Senior Machine Learning Engineer - Policy & Safety$184,050 - $262,928
Research Scientist - Generative Audio$133,194 - $190,278
Security Engineer - Detection and Response$132,948 - $189,927

Same $100K to $400K scale as every card. All Spotify roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-18
Where this pay comes from

Location as the employer wrote it: New York, NY • Boston, MA (remote)

The United States base range for this position is $164,448 - $234,926, plus equity. The benefits available for this position incl

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.