Open Data Science job portal

Staff Backend/Data Engineer – Personalized Playlists 926 views

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, they’re behind some of Spotify’s most-loved features. They built them by understanding the world of music and podcasts better than anyone else. Join them and you’ll keep millions of users listening by making great recommendations to each and every one of them.

They are looking for a Staff Engineer with significant expertise in the Backend Engineering domain to join their Listening Experiences product area, a collection of 5 teams that make personalized playlists. You will evolve their technical vision for blending music and other audio experiences (e.g., podcasts, news, history, sports, wellness, trivia, etc) that are personalized and adapt to changing listening habits. You will advance the state of the art for recommending these experiences in a detailed and ubiquitous way. As one of the most senior individual contributors in the product area, you will also work as a technical leader across squads, assume technical leadership of projects, and champion technical and architectural completion, especially in the subject area of Backend Engineering. You will grow the capabilities of the team by promoting meticulous engineering practices, facilitating technical strategies and roadmaps, regularly assessing the health of teams’ technology, and advocating for standard methodologies in the Spotify backend community. You will also mentor other specialists to support them in their career growth.

What You’ll Do

    • Be an authority and valued contributor in a multi-functional agile organization and within Spotify in general.
    • Contribute to the vision and long-term technical strategy of mixed media and other listening experiences.
    • Initiate, influence, and drive technical projects across teams within Spotify, especially in the field of Backend Engineering.
    • Architect, develop and operate Java services deployed to millions of users.
    • Work with data engineers building batch and real-time data pipelines with data processing frameworks like Scio, Storm, Spark, and the Google Cloud Platform.
    • Collaborate with other specialists, product managers, engineering managers, designers, data analysts, and user researchers to identify and tackle meaningful problems, crafting awesome audio sessions for users worldwide.
    • Champion technical and architectural perfection. Promote high standards in terms of alignment to best practices. Lead by example in terms of code consistency, performance, robustness, testing, scalability, intuitive APIs, and libraries, all of which are core tenets for their solutions.
    • Lead in the Spotify-wide backend engineering developer community affecting and driving architectures across the Personalization team.
    • Disseminate knowledge and findings across the organization, leveling up their engineering practices, and mentoring other specialists.
    • Work in an environment that supports your individual growth by providing you with results-oriented work, the freedom to acquire new skills on hack days, reading groups, and a variety of internal training courses.
    • Stay up to date on the state of the art technology and engineering developments. Steer towards good tool and technology choices that both fit the problem at hand and aligns with long-term visions and roadmaps.

Who You Are

    • You have validated experience in hands-on engineering. You have deep expertise in backend engineering and you are proficient and interested in big data processing technologies.
    • You have extensive experience crafting long term technical roadmaps and guiding technical innovation. In the past, you have solved problems that affect the larger engineering organization.
    • You have validated experience as a technical leader of a department of 30+ engineers.
    • You have worked with content recommendations.
    • You have experience mentoring and supporting peers and engineering teams, fostering the best engineering practices.
    • You possess a deep understanding of how to translate product and business goals into tech.
    • You have a deep understanding of system design, data structures, and algorithms and understand how to apply them to craft pragmatic solutions.
    • You are passionate about developing products for hundreds of millions of consumers and building platforms that are used by hundreds of internal engineers.
    • You are passionate about what you do and have a strong interest in keeping up with current standard methodologies in your areas of expertise.
    • As a phenomenal doer with great interpersonal skills, you love sharing your knowledge with others and helping them grow!

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. Their platform is for everyone, and so is their workplace. The more voices they have represented and amplified in their business, the more they will all thrive, contribute, and be forward-thinking! So bring them your personal experience, your perspectives, and your background. It’s in their differences that they will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when it launched in 2008. Their mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything they do is driven by their love for music and podcasting. Today, they are the world’s most popular audio streaming subscription service with a community of more than 320 million users.

More Information

Share this job
Company Information
Connect with us
Contact Us

Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in the USA, Europe, and Asia.

Contact Us