Senior Backend Engineer, Home Surfaces

Job Description:

• Architect, build, and evolve backend systems supporting personalization and recommendations at Spotify scale
• 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 through technical design, implementation, deployment, monitoring, and continued improvement
• Use experimentation and data to assess system changes and inform future development
• Navigate ambiguous technical problems and contribute to the long-term architecture of personalization systems
• Share knowledge and engineering practices with teammates

Requirements:

• Experience building production systems with Java
• Experience designing distributed, high-volume services
• Experience deploying, operating, and evolving services in production
• Experience working directly with stakeholders to understand requirements
• Experience designing broadly adoptable APIs and systems
• Strong understanding of system design, data structures, and algorithms
• Interest in large-scale data processing technologies
• Comfort working in an environment where teams experiment, learn, and iterate quickly
• Use of data to inform technical and product decisions
• Experience with technologies such as gRPC, GCP, BigQuery, Bigtable, or similar tools and platforms
• Ability to work within the Eastern Standard time zone for collaboration

Benefits:

• Health insurance
• Six-month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• Paid flexible holidays
• Paid sick leave
• Equity