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Backend Engineer, Personalization

đź•’ September 15

🗽 New York – Remote

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⏰ Full Time

🟡 Mid-level

đźź  Senior

đź”™ Backend Engineer

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đź‘» Ghost score 11%

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Logo of Spotify

Spotify

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

đź“‹ Description

• Build, maintain, and evolve backend systems supporting personalization and recommendations at Spotify scale • Develop infrastructure enabling efficient retrieval, ranking, and filtering of personalized content • Build platform capabilities supporting candidate generation and representations of content and users • Design reliable, scalable, and performant services for high-volume recommendation workloads • Partner with engineers and teams across Spotify to understand needs and build reusable platform solutions • Improve reliability, observability, maintainability, and operational performance of owned systems • Participate in technical design discussions and contribute to architectural decisions • Build technology powering personalized experiences and helping listeners discover and engage with content

🎯 Requirements

• Professional experience building and operating backend systems in production • Experience with distributed systems, APIs, data-intensive applications, or large-scale service architectures • Comfortable working with systems where reliability, latency, and scalability matter • Ability to independently own engineering projects while collaborating effectively with engineers across teams • Interest in infrastructure behind recommendation and personalization systems; prior machine learning experience helpful but not required • Enjoys solving platform-level problems and building systems that other engineering teams depend on • Commitment to writing maintainable code, making thoughtful technical decisions, and continuously improving production systems • Work location in the North America region where Spotify has a work location • Ability to work within the Eastern Standard time zone for collaboration

🏖️ Benefits

• Equal opportunity employer • Accessible recruitment process and reasonable accommodations during the interview process • Work From Anywhere options • Flexible choice of work mode, including office or home working

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