Backend Engineer, Music Mission

Spotify•New York, NY

21h•Hybrid

About The Position

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.

Requirements

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.

Responsibilities

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.