
5001 - 10000 employees
Founded 2008
đ± Media
đ„ B2C
đïž eCommerce
Media âą B2C âą eCommerce
Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.
đ„ 49 minutes ago
đœ New York, Massachusetts â Remote
đ” $164.4k - $234.9k / year
â° Full Time
đ Senior
đ Backend Engineer
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5001 - 10000 employees
Founded 2008
đ± Media
đ„ B2C
đïž eCommerce
Media âą B2C âą eCommerce
Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.
âą Architect, build, and evolve backend systems supporting personalization and recommendations at Spotify scale âą Design reliable, scalable, and performant services for high-volume recommendation workloads âą Build and improve infrastructure and pipelines to retrieve, rank, and deliver personalized podcast recommendations âą Partner with Product Managers, Engineers, Data Scientists, and Designers to develop recommendation experiences and define experimentation strategies âą Own backend systems through technical design, implementation, deployment, monitoring, and continued improvement âą Use experimentation and data to assess system changes and inform future development âą Navigate ambiguous technical problems and contribute to the long-term architecture of personalization systems âą Share knowledge and engineering practices with teammates
âą Experience building production systems with Java âą Experience designing distributed, high-volume services âą Experience deploying, operating, and evolving services in production âą Experience working directly with stakeholders to understand requirements âą Experience designing broadly adoptable APIs and systems âą Strong understanding of system design, data structures, and algorithms âą Interest in large-scale data processing technologies âą Comfort working in an environment where teams experiment, learn, and iterate quickly âą Use of data to inform technical and product decisions âą Experience with technologies such as gRPC, GCP, BigQuery, Bigtable, or similar tools and platforms âą Ability to work within the Eastern Standard time zone for collaboration
âą Health insurance âą Six-month paid parental leave âą 401(k) retirement plan âą Monthly meal allowance âą 23 paid days off âą Paid flexible holidays âą Paid sick leave âą Equity
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