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Backend Engineer, Personalization

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Full time

Salary:

123 - 175K yearly

Experience:

Mid-level (2-5 years)

Work from:

Massachusetts (USA), United States

Offer summary

Qualifications:

3+ years of backend engineering experience, Experience with high-volume Java services, Understanding of data structures and algorithms, Strong problem-solving and analytical skills, Familiarity with emerging backend technologies.

Key responsabilities:

Design, develop, and deliver backend systems and APIs
Collaborate on identifying and solving product challenges
Leverage data sets for podcast and video recommendations
Write clean and maintainable code following best practices
Contribute to software development standards and improve practices

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

5001 - 10000 Employees

HQ: Stockholm

See more Spotify offers

Job description

On the Personalization Team, we seek to understand the audio world 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, from Podcast Feeds to Discovery Weekly to DJ. We're a team of technologists, product insight experts, designers, and product managers in Boston, New York, Stockholm, and London.

Spotify is looking for a Backend Engineer to join the podcast and video team in Personalization. Our mission is to supercharge podcast discovery and video consumption through new formats and next generation recommendations. We are a highly collaborative team of engineers from multiple disciplines who are passionate about new challenges, product innovation, and building highly scalable distributed systems. We have experience in using new technologies to quickly prototype experiences as well as in building systems that serve content at scale for hundreds of millions of users. Our expertise ranges from Backend to ML and LLMs to Web. If you are interested in being a backend engineer on a team driving cutting edge user experiences, apply today!

What You'll Do

Design, develop, and deliver robust and scalable backend systems and APIs

Collaborate with other engineers, product owners, and designers to identify and solve challenging problems and build new product features.

Leverage Spotify’s many data sets to create state of the art podcast and video recommendations

Write clean, maintainable, well-documented code, adhering to coding best practices

Participate in the improvement of our software development standards and practices

Stay up-to-date with emerging backend technologies and best practices

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

Who You Are

At least 3+ years of backend engineering experience

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

You have a good understanding of data structures and algorithms, and understand how to apply them to design pragmatic solutions

You have excellent analytical and problem-solving skills and can communicate your ideas to technical and non-technical audiences.

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

Where You'll Be

For this role, you can be within the EST time zone with a strong preference to be in New York or Boston

Working hours? We operate within the EST zone for collaboration.

The United States base range for this position is $122,716-$175,308, 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.