Senior Backend Engineer, Home Surfaces

New
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SpotifyPodcast recommendations
For this role, you can be within the North Americas region as long as we have a work location., This team operates within the Eastern Standard time zone for collaboration.Full-TimeSenior
Salary not disclosed
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Job Details

Required Skills
JavaAlgorithmsData StructuresgRPCBigQueryDistributed Systems

Requirements

  • Experience building production systems with Java.
  • Experience designing distributed, high-volume services.
  • Know how to deploy, operate, and evolve services in production.
  • Experience working directly with stakeholders to understand requirements.
  • Experience designing APIs and systems for broad adoption rather than one-off implementations.
  • Strong understanding of system design, data structures, and algorithms.
  • Interest in large-scale data processing technologies and their use in personalized product experiences.
  • Comfort working in an environment where teams experiment, learn, and iterate quickly.
  • Use data to inform technical and product decisions and assess the impact of work.
  • Experience with gRPC, GCP, BigQuery, Bigtable, or similar tools and platforms.

Responsibilities

  • Architect, build, and evolve backend systems for personalization and recommendations.
  • Design reliable, scalable, and performant services for high-volume recommendation workloads.
  • Build and improve infrastructure and pipelines to retrieve, rank, and deliver personalized podcast recommendations.
  • Partner with Product Managers, Engineers, Data Scientists, and Designers to develop recommendation experiences and define experimentation strategies.
  • Own backend systems from technical design and implementation through deployment, monitoring, and continued improvement.
  • Use experimentation and data to assess system changes and inform future development.
  • Address ambiguous technical problems, make engineering trade-offs, and contribute to personalization system architecture.
  • Share engineering knowledge and practices with teammates.
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