Senior Backend Engineer - Surfaces/PZN

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. The Experimentation and Learning team (SEAL) sits within the Surfaces Foundation product area in the Personalization mission. This team builds the experimentation and learning infrastructure for Spotify Surfaces — powering how we test, evaluate, and ship personalized experiences across Home and beyond. By creating a unified, agent-driven experimentation ecosystem, we enable teams to go from a raw hypothesis to a fully configured, running experiment in minutes instead of days. The United States base range for this position is $165,000 - $235,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future. Spotify is an equal opportunity employer. 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. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. What You'll Do Own and evolve the core experimentation service, building agentic workflows that automate experiment setup, configuration, and validation across multiple backend systems Design and maintain API-first orchestration layers that coordinate across experimentation and content delivery systems Build and integrate LLM-driven workflows into robust, production-ready infrastructure, including planner, generator, and validator architectural patterns Define and uphold SLOs and SLAs for experimentation infrastructure, contributing to a strong culture of reliability and operational excellence Partner closely with content, feature, and platform teams to scale automated experimentation patterns across a growing range of surfaces and configurations Identify, diagnose, and resolve bottlenecks in experiment orchestration to ensure fast and reliable workflows Collaborate across squads to continuously improve how experimentation and evaluation are delivered across Spotify Surfaces Contribute to architectural decisions that improve system scalability, observability, and maintainability Who You Are You have experience building and operating large-scale backend systems serving high-traffic user experiences You’re comfortable using AI-assisted tools to develop high quality software. You are experienced with distributed systems, APIs, and service-oriented architecture You know how to design systems with performance, scalability, and reliability in mind You are a product-minded engineer who thrives at the intersection of infrastructure, AI, and experimentation Experience translating conceptual architectures into scalable, production-ready code Comfortable working across multiple teams and collaborating with cross-functional partners You care about creating maintainable systems that enable fast iteration and experimentation Motivated by turning fragmented, manual processes into elegant, automated workflows Experience defining and working with SLOs, SLAs, and observability tooling Experience with LLMs, agent frameworks, or A/B testing infrastructure is a bonus Where You'll Be We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location. This team operates within the Eastern Standard time zone for collaboration.

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