Backend Engineer, Music

🕒 March 27

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

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Spotify

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Own and evolve backend systems that deliver promotion scores to personalization systems (PZN) • Build and maintain services that support promotion allocation and delivery at scale • Collaborate closely with machine learning engineers and data engineers to improve signal quality and system performance • Contribute to system design decisions that impact a critical part of Spotify’s discovery ecosystem • Improve reliability, scalability, and observability of existing infrastructure • Partner with cross-functional teams to ensure seamless integration with personalization workflows • Gradually expand your scope into adjacent areas such as data pipelines or ML-adjacent systems

🎯 Requirements

• You have experience building backend systems using Java or similar languages • You are comfortable working across systems and are interested in learning beyond pure backend (e.g., data or ML systems) • You are driven to leverage AI to improve our systems, and eager to find practical ways to apply it • You have experience working with or exposure to Scala, Python, or data/ML workflows • You are excited to grow into a T-shaped engineer with breadth across backend, data, and ML-adjacent domains • You care about ownership and are motivated to take responsibility for evolving critical systems • You collaborate effectively with cross-functional teams, including personalization and data partners