Offer summary

Qualifications:

Experience in designing and developing APIs and backend systems to meet scalability needs., Proficiency in Java and experience with distributed, high-volume services., Understanding of system design, data structures, and algorithms., Interest in big data processing technologies and a commitment to high-quality code..

Key responsabilities:

Collaborate with internal stakeholders to design backend systems and APIs.

Architect, develop, and operate Java services for millions of users.

Leverage data sets to create music recommendations and solve challenging problems.

Lead and contribute to the backend developer community and participate in hack days.

Job description

On the Personalization Team, we seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual person and keep the world listening. Everyday, hundreds of millions of people all over the world use the products we build which include destinations like “Home” and “Search” as well as original playlists such as "Discover Weekly" and “Daily Mix.” We're a team of technologists, product insight experts, designers, and product managers in Boston, New York, Stockholm, and London.

You will closely collaborate with our internal customers to determine the best API and backend system design to meet their scalability needs. You will build the backend systems that power our application, scale highly distributed systems, and continuously improve our engineering practices. Above all, your work will impact the way the world experiences music.

Mimir is a squad within the Personalization Mission that empowers and enables the serving of Spotify vector ecosystems at scale. We own the Flux Platform (ranking, raw-vectors, nearest-neighbor, and content-pools) that many teams across Spotify use for either candidate generation or as representations for content and users.

What You'll Do

Collaborate with key internal stakeholders to determine how to design backend systems and APIs to meet their scalable needs

Architect, develop, and operate Java services deployed to millions of users

Leverage Spotify’s many data sets to create awesome music recommendations

Be a technical leader and valued contributor in an autonomous, cross-functional agile team

Collaborate with other engineers, product owners, and designers to identify and solve challenging problems, creating awesome music sessions for users worldwide

Be a leader of the Spotify-wide backend developer community affecting and driving our architecture across the company

Work on what you want during regular hack days and bi-annual hack weeks

Work from our awesome headquarters in Stockholm where we solve problems in the areas of Music Recommendations, Personalized Sets, and Music Understanding

Who You Are

You have experience working directly with stakeholders to understand, document and develop APIs and systems to meet their requirements, driving increased adoption and reducing reliance on custom one-off implementations

You have experience writing distributed, high-volume services and know how to deploy and keep them running in production

You have interest in big data processing technologies

You love working in an environment where you constantly experiment and iterate quickly

You believe data is the most powerful tool for informed decision-making

You have a deep understanding of system design, data structures, and algorithms

You care about quality and you know what it means to ship high quality code

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the North America 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 $160,091- $228,702 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.

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