
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.
🕒 May 20
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
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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.
• Build and maintain across the stack: Contribute to backend services, APIs, data pipelines, and where needed, frontend interfaces, embracing Spotify's infrastructure patterns and continuing making WhoSampled the industry-leader in showcasing the story behind the music. • Improve metadata matching: Evolve how WhoSampled's database is matched to Spotify's catalog, moving beyond heuristics toward ML-assisted approaches, including entity resolution and LLM-powered disambiguation. Better matching means more of WhoSampled's archive surfaces meaningfully within Spotify. • Drive infrastructure modernisation: Lead meaningful infrastructure work that brings WhoSampled onto more robust, scalable foundations, working closely with Spotify's platform and security stakeholders. • Take end-to-end ownership: Design, build, ship, and operate. You're accountable for the reliability and performance of the systems you own, and proactive about improving them. • Be AI-forward: Bring AI tooling into your engineering practice; whether for data quality, matching, operational automation, or developer productivity.
• Strong experience building production software, with depth in at least two of: backend services, frontend web, data systems, or infrastructure — and enough exposure to the others to move between them without stalling. • You are comfortable moving between languages and stacks. You're strong in Python (ideally with Django experience) and Java. • You have production experience with Postgres — schema design, query tuning, and knowing when to reach for something else. Familiarity with ElasticSearch is a plus; you'll be tuning clusters with us, not from scratch. • You have modern web app experience with TypeScript and React. You've shipped user-facing features, not just prototypes. • You are comfortable with the production stack: Linux, GCP (or equivalent cloud), networking fundamentals, and a real sense of what it takes to keep a system reliable under load. • You thrive with ambiguity and ownership. You move forward without perfect specs, make well-reasoned calls with limited oversight, and know when to stop and ask. • You care about craft. Clean, testable code; documentation the next person can actually use; systems you'd be happy to hand off.
• Flexible work arrangements
Apply Now🕒 May 20
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