Backend Engineer, Mimir, Personalization

What You'll Do

• 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.

Who You Are

• 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.

Where You'll Be

• We are a distributed workforce enabling our band members to find a work mode that is best for them!
• Where in the world? For this role, it can be anywhere in the North America region in which we have a work location
• Prefer to work in an office environment? Prefer to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
• Working hours? We operate within the Eastern Standard time zone for collaboration.