Spotify

Full Stack Engineer - Advertising

New York, NY

Sponsorship not specified$133k-$190kDetected 77 days ago

JavaNext.jsSpringBackend DevelopmentFull-Stack DevelopmentData StructuresGCPGraphQLData Engineering

About the role

We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers.
This scale brings unique challenges as well as tremendous opportunities for our artists and creators.
Spotify is hiring a Full Stack Engineer to join the Spotify Advertising Team.

Collaborate with band members on the Ads API and Data Store team to enhance our API and data ecosystem, including ingestion, consumption, transformation and storage.
Work in an environment that supports your individual growth
This team collaborates across the Pacific time zone, Australian, and Eastern time zone.

You're an experienced Java engineer with 5+ years of working experience on backend services as scale.
You have built and maintained APIs at scale.
You have some experience with Data Engineering with Scala.
You care about observability & reliability and have experience with engineering best practices and testing automation to build quality into software and systems.
You value team success over personal success and have the ability to both uplift and up-level other engineers.
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.

Additional tools and technologies such as Spring, GCP, NextJS, GraphQL are a plus.

Collaborate with engineering squads across Spotify, helping them enhance their products by providing first class data solutions, knowledge and education.

if you're passionate about data availability, integrity and performance at scale, come join us!
Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video.

This listing is sourced directly from Spotify's careers page and normalized into a canonical job model.