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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