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Spotify

Senior Backend Engineer – Personalization

Spotify

Senior Backend Engineer developing backend services for Spotify's music personalization features. Collaborating with cross-functional teams to enhance user experience with music and podcasts.

Posted 5/6/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $160,091 - $228,702 per yearWebsite

Tech Stack

Tools & technologies
ApacheAWSCloudDistributed SystemsGoogle Cloud PlatformSpark

About the role

Key responsibilities & impact
  • Design, build, and ship backend services that power LLM-based music fulfilment experiences, giving users more adaptive control over their listening
  • Build and maintain the APIs and distributed systems behind prompted playlist experiences, session generation, and agentic music products
  • Collaborate with cross-functional partners across user research, design, data science, product, and ML engineering to build new product features that connect artists and fans in personalized and meaningful ways
  • Be a technical leader and valued contributor in an autonomous, cross-functional agile team
  • Prototype new approaches and productionize solutions at scale for hundreds of millions of active users
  • Contribute to the Spotify-wide backend developer community, affecting and driving architecture across the company
  • Promote best practices in backend system design, testing, and deployment across the organization

Requirements

What you’ll need
  • You are an experienced backend engineer who enjoys solving complex real-world problems in a fast-paced, collaborative environment
  • You have experience working directly with stakeholders to understand, document, and develop APIs and systems to meet their requirements, driving increased adoption and reducing reliance on custom one-off implementations
  • You have experience writing distributed, high-volume services and know how to deploy and keep them running in production
  • You have a deep understanding of system design, data structures, and algorithms
  • You are comfortable working with LLM-based systems and building the backend infrastructure that supports them
  • You have experience with large-scale distributed data processing tools such as Apache Beam or Apache Spark
  • You have worked with cloud platforms like GCP or AWS
  • You love working in an environment where you constantly experiment and iterate quickly
  • You believe data is the most powerful tool for informed decision-making
  • You care about quality and you know what it means to ship high-quality code

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
backend engineeringAPI developmentdistributed systemssystem designdata structuresalgorithmsLLM-based systemshigh-volume servicesdata processingcloud platforms
Soft Skills
collaborationproblem-solvingtechnical leadershipcommunicationadaptabilityquality focusstakeholder engagementiterationcreativitydecision-making