Backend Engineer, Music Mission

MusicX is a Product Area within the Music Mission that works across a portfolio of industry and consumer facing products. Our work is anchored around maximizing Spotify's music catalogue, with a strong focus on music-centric video, and helping artists connect more deeply with their fans through tools that support promotion, discovery, and engagement.

As Spotify increases its investment in music videos our team focuses on ensuring that these videos are discoverable by fans, perform well for artists, and are supported by smarter infrastructure that scales as supply grows.

We are looking for a Backend Engineer to join the band. As a member of the team, you will be building systems that enable all squads across the Music Mission to be able easily add functionality that enables artists to expand their ability to reach fans.

What You'll Do

• Collaborate and advise on backend services and Pubsubs to expose data for consumption by other teams.
• Work with Product to conceptualize and implement new ways of understanding the interplay between user happiness, track performance, and artist needs.
• Leverage the most efficient practices in continuous integration and delivery.
• Help us prioritize and address technical debt to ensure our systems are built for speed and reliability and have the ability to scale to meet changing needs.
• Help drive optimization, testing, and tooling to improve data quality.
• Collaborate with other engineers, product managers, specialists, and stakeholders, taking learning and leadership opportunities that will arise every single day.
• Work in agile teams to continuously experiment, iterate and deliver on new product objectives and enhance tooling for squads within our product area.

Who You Are

• You have some experience with at least one backend programming language such as Java, Scala, Python, or similar (NodeJS experience is also a plus!)
• Have strong fundamentals in computer science and previous experience building backend services at scale.
• Have an interest and some experience with Scala and data engineering.
• Have an understanding of distributed systems, data structures and architecture patterns.
• Familiar with cloud providers like AWS or GCP.
• Comfortable working collaboratively on a cross-functional team in a remote-first environment.
• Have a growth mindset and eagerness to learn.

Where You'll Be

• This role is based in New York
• 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.

The United States base range for this position is $107,483 - $153,547 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, 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: