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Spotify

Backend Engineer – Music

Spotify

. Build and run production backend systems that improve how listeners discover and enjoy music videos .

Posted 9/29/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining scalable backend systems and APIs, with a strong focus on Java development and data pipeline tools. Collaborates effectively with cross-functional teams to enhance user experiences and ensure code quality and reliability.

Highest-signal resume keywords
Java DevelopmentData Pipeline ToolsDistributed SystemsCloud Platform ExperienceSystem Design

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
JavaScioApache BeamData StructuresAlgorithmsData EngineeringMachine Learning
Soft Skills
CollaborationProblem Solving
Tools & Technologies
Google Cloud Platform
Industry Keywords
Backend SystemsAPIsHigh-Traffic ServicesCode QualityReliability

Tech Stack

Tools & technologies
ApacheCloudGoogle Cloud PlatformJava

About the role

Key responsibilities & impact
  • Build and run production backend systems that improve how listeners discover and enjoy music videos
  • Design, develop, and evolve scalable backend services and APIs supporting high-traffic parts of the Spotify app
  • Develop and maintain Java services and Scio data pipelines used by millions of listeners
  • Partner with product managers and engineers to solve complex problems and create smooth listener experiences
  • Contribute to system design, code quality, and reliable, well-run systems within an autonomous, cross-functional squad
  • Explore and experiment with AI tools available at Spotify to improve development and shipping

Requirements

What you’ll need
  • Experience with Java or another JVM language
  • Familiarity with or interest in learning data pipeline tools such as Scio, Apache Beam, or similar
  • Experience building and operating distributed, high-volume services in production
  • Ideally experience with a cloud platform such as Google Cloud Platform
  • Knowledge of system design, data structures, and algorithms
  • Ability to work directly with partners to translate needs into scalable backend systems, APIs, and pipelines
  • Care for code quality, reliability, and maintainability
  • Experience in data engineering or machine learning is a bonus, not a requirement
  • Ability to collaborate across team boundaries
  • Ability to work within the US Eastern timezone for collaboration

Benefits

Comp & perks
  • Flexible work-from-home arrangement
  • Some in-person meetings
  • Reasonable accommodations during the interview process
  • Equal opportunity and inclusive workplace