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Backend Engineer - Music

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Full time

Salary:

126 - 179K yearly

Work from:

New York (USA), United States

Offer summary

Qualifications:

3+ years of experience with Java, Experience with CloudSQL and relational databases, 2+ years of experience with Apache Spark or Apache Beam, Deep understanding of system design and algorithms.

Key responsabilities:

Develop backend services in Java
Coordinate technical projects across multiple teams

Spotify Music XLarge http://www.lifeatspotify.com/

5001 - 10000 Employees

See all jobs

Job description

Spotify is looking for a Backend Engineer to join the Music Mission engineering organization, specifically the Crescendo squad within the Music Promotion and Spotify for Artists Growth product area. The Music Mission owns Spotify's end-to-end proposition for music creators and the experiences they build for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.

This role will be part of an engineering team passionate about crafting the ways we communicate with our customers throughout their journey–both in and outside of the Spotify for Artists experience. More specifically, this team will build platforms and tools to empower product and marketing to reach artists and their teams, connecting them to the powerful industry-facing tools our mission provides to help drive their career on Spotify.

You will join our fast paced, innovative team of engineers who are solving exciting architecture problems around access and authorization and collaborating across teams to develop reliable, scalable solutions that power the Spotify marketplace.

What You'll Do

Develop backend services in Java that expose data both in relational and non-relational databases to a React frontend.

Coordinate technical projects across multiple teams within Spotify.

Facilitate collaboration with engineers, product owners, and designers to solve exciting and challenging problems for delivering value to artistsDeploy and operate the backend services that you develop on Google’s GCP cloud.

Author and circulate technical RFCs to document approaches.

Collaborate with engineers, product owners, and designers to provide tooling and a platform that unlocks administrative capabilities for Spotify teams.

Work in an environment that supports your individual growth by providing you with challenging tasks to solve and the freedom to acquire new skills in hack time, reading groups, lectures, and a variety of internal training courses.

Who You Are

You have professional experience working with Java (3+ years).

You have professional experience working with: CloudSQL and/or relational databases (3+ years), Apache Spark and/or Apache Beam (2+ years) and data engineering and GCS Dataflow (2+ years).

An experienced technical leader who’s capable of advising a team through sophisticated Discovery and Delivery phases.

You have communication and collaboration skills and go above and beyond to ensure alignment across subject areas.

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

You are collaborative and a team-first player who sees the value in pairing and mobbing and can also work independently.

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 American region as long as we have a work location.

This team operates within the EST time zone for collaboration.

The United States base range for this position is $125,562 - $179,374 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. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.