Backend Engineer – Personalization

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $151.9k - $189.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

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Spotify

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • 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.

📋 Description

• Design and operate services that serve personalized recommendations to users in real time, including Smart Shuffle and Discover Weekly • Build and maintain large-scale batch pipelines in Scala/Scio and Flyte that generate candidate pools, bloom filters, and personalization signals for hundreds of millions of users daily • Develop and maintain components within Spotify's Sessions Platform (SSP) that power playlist experiences end to end • Collaborate with data scientists to operationalize research ideas • Be a technical leader in an autonomous, multi-functional team

🎯 Requirements

• several years of experience as a Backend Engineer building and operating services at scale • strong Java skills and comfort with gRPC and Protocol Buffers • hands-on experience with large-scale data pipelines, ideally Apache Beam/Scio or a similar batch processing framework (Spark, Flink) • experience with pipeline orchestration tools like Flyte or similar • comfortable working across the full backend stack: from online serving (Bigtable, Memcached, low-latency APIs) to offline data (BigQuery, Dataflow, dbt) • curiosity about recommendation systems, search, or personalization • care about quality and know what it means to ship reliable, observable, production-grade systems • thrive in an environment of experimentation and fast iteration • experience with GCP (Kubernetes/GKE, Gantry, Dataflow, BigQuery, Bigtable) and Elasticsearch is a plus

🏖️ Benefits

• Health insurance • six month paid parental leave • 401(k) retirement plan • monthly meal allowance • 23 paid days off • 13 paid flexible holidays