Senior Backend Engineer: Personalization & Podcasts

Spotify

United States

Remote

USD 164,000 - 235,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
Paid parental leave
401(k) retirement plan
Monthly meal allowance
23 paid days off
Paid holidays
Paid sick leave

Job summary

Spotify's Personalization and Home Podcasts squads build backend systems that power podcast recommendations for millions of listeners. As a Senior Backend Engineer, you will design, implement, and operate services that identify, rank, and deliver relevant content at scale.

You'll collaborate with Product Managers, Engineers, Data Scientists, and Designers to create new experiences and define experimentation strategies.

Qualifications

  • Experience building production systems with Java.
  • Design of distributed, high-volume services.
  • Experience iterating with stakeholders to define API design.
  • Strong understanding of data structures and algorithms.
  • Interest in large-scale data processing for personalized experiences.
  • Comfort with fast, experiment-driven environments.

Responsibilities

  • Architect, build, and evolve backend systems for personalization at scale.
  • Develop infrastructure to retrieve, rank, and deliver recommendations.
  • Collaborate with Product Managers, Engineers, Data Scientists, and Designers.
  • Own backend services through design, deployment, and monitoring.
  • Use data and experiments to drive decisions.
  • Tackle complex technical problems and contribute to architecture.
  • Share knowledge and engineering practices with the team.

Skills

Java
Distributed systems
APIs
Data processing
Data structures
Algorithms

Tools

gRPC
GCP
BigQuery
Bigtable

Job description

Spotify's Personalization and Home Podcasts squads build backend systems that power podcast recommendations for millions of listeners. As a Senior Backend Engineer, you will design, implement, and operate services that identify, rank, and deliver relevant content at scale.

You'll collaborate with Product Managers, Engineers, Data Scientists, and Designers to create new experiences and define experimentation strategies.

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