Backend Engineer (Personalization) at Spotify

Spotify’s Personalization Mission makes it easier for fans and artists to connect in more relevant and meaningful ways. We build the technology behind personalized experiences across Spotify, helping listeners discover and engage with the content they love.

• Build, maintain, and evolve backend systems that support personalization and recommendations at Spotify scale.
• Develop infrastructure that enables efficient retrieval, ranking, and filtering of personalized content.
• Build platform capabilities that support candidate generation and representations of content and users.
• Design reliable, scalable, and performant services capable of supporting high-volume recommendation workloads.
• Partner with engineers and teams across Spotify to understand their needs and build reusable platform solutions.
• Improve the reliability, observability, maintainability, and operational performance of the systems the team owns.
• Participate in technical design discussions and contribute to architectural decisions as our platforms continue to evolve.

• You have professional experience building and operating backend systems in production.
• You have experience with distributed systems, APIs, data-intensive applications, or large-scale service architectures.
• You’re comfortable working with systems where reliability, latency, and scalability matter.
• You can independently own engineering projects while collaborating effectively with engineers across teams.
• You’re interested in the infrastructure behind recommendation and personalization systems; prior machine learning experience is helpful but not required.
• You enjoy solving platform-level problems and building systems that other engineering teams depend on.
• You care about writing maintainable code, making thoughtful technical decisions, and continuously improving production systems.