Spotify
Spotify

Senior Backend Engineer - Surfaces/PZN

engineeringfull-timeNew York, NY
SALARY
Not specified
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role

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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