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Spotify

Senior Backend Engineer – Podcast

Spotify

Senior Backend Engineer building and maintaining backend systems for personalized podcasts at Spotify. Collaborating on design and technical improvements to enhance creator and listener experiences.

Posted 5/25/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $164,448 - $234,926 per yearWebsite

Tech Stack

Tools & technologies
Distributed SystemsGoJavaKotlinScala

About the role

Key responsibilities & impact
  • Lead the design and evolution of backend services that generate, distribute, and support personalized podcast episodes at scale
  • Help transform MVPs and prototypes into reliable production systems with clear APIs, durable data flows, strong observability, and thoughtful operational patterns
  • Shape the technical direction for agentic workflows and help establish quality and reliability standards for AI-generated content systems
  • Build and improve creator merchandising features in Spotify for Creators, including podcast chapters, transcripts, previews, clips, guests, topics, thumbnails, and more
  • Collaborate with engineers, product managers, designers, and cross-functional stakeholders across Spotify missions to align on requirements and deliver integrated experiences
  • Partner closely with product and design to iterate on ideas, unblock technical exploration, and make pragmatic tradeoffs that balance experimentation with long-term maintainability
  • Mentor engineers across the team and help raise the quality of technical design discussions, RFCs, reviews, and operational practices
  • Contribute to a culture of experimentation, ownership, collaboration, and continuous learning

Requirements

What you’ll need
  • 5+ years of experience building and operating production backend systems using Java, Kotlin, Scala, Go, or similar languages
  • Experienced with distributed systems concepts including asynchronous processing, queues/pub-sub systems, idempotency, service-to-service APIs, storage design, failure handling, and observability
  • Hands-on experience with, or strong curiosity about, LLM-powered applications and agentic workflows
  • Ability to navigate ambiguity while maintaining strong engineering discipline and production reliability
  • Strong focus on user experience for creators and listeners
  • Effective communication across technical and non-technical audiences
  • Experience mentoring engineers and leading quality improvement in engineering and operational maturity

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

ATS Keywords

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Hard Skills & Tools
JavaKotlinScalaGodistributed systemsasynchronous processingqueuesservice-to-service APIsobservabilityLLM-powered applications
Soft Skills
mentoringeffective communicationcollaborationproblem-solvinguser experience focusnavigating ambiguityleadershipquality improvementoperational maturitycontinuous learning