Backend Engineer - Personalization

1 hour, 46 minutes ago
Full-time
Mid Level
Software Development
Spotify

Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media
Founded 2006

Description

  • Own backend systems that rank and serve personalized content on the Now Playing View.
  • Work in an AI-native development workflow by reviewing agent-generated output and ensuring architectural coherence across services.
  • Integrate with machine learning serving infrastructure and partner with ML engineers to move models from training to production under tight latency constraints.
  • Make product-informed backend decisions that improve user engagement, discovery, and overall user experience.
  • Design patterns, tests, and guardrails that keep code consistent, safe, and production-ready across services.
  • Instrument features, run A/B experiments, and analyze rollout metrics to guide shipping decisions.
  • Own production reliability for backend services, including monitoring, alerting, on-call, and incident response.
  • Collaborate with machine learning engineers, data scientists, research scientists, and product managers to turn ideas into production systems.

Requirements

  • Experience building and operating backend services in Java or another JVM language.
  • Experience working within a microservice architecture.
  • Strong systems thinking with the ability to reason about service contracts, failure modes, and architectural tradeoffs.
  • Ability to review code critically for correctness, performance, and design coherence, including AI-generated code.
  • Hands-on experience with AI-assisted development tools such as Claude Code.
  • Ability to decompose problems into well-scoped tasks and coordinate multiple parallel agent streams.
  • Product-oriented mindset with an understanding of how backend changes affect user engagement.
  • Practical system design experience and the ability to reason about latency, reliability, and scalability across distributed services.
  • Comfort with production ownership, including on-call, monitoring, and operational health.
  • Comfort working in ambiguity and helping define best practices for AI-native workflows.

Benefits

  • Flexible work location within the European region, with collaboration centered on GMT/CET time zones.
  • Remote work option.
  • Inclusive and accessible hiring process with reasonable accommodations available.
  • Opportunity to work on one of Spotify’s most visible and high-impact product surfaces.
  • Chance to work at the intersection of backend engineering and machine learning.

Interested in this position?

Apply directly on the company website

Apply Now

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