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Staff Engineer - Content Intelligence Infrastructure

SpotifyAudio Streaming company
London, United KingdomLead
Software Engineering

About the role

Lead the design and evolution of data, backend, and ML infrastructure for content intelligence.

  • Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify’s content intelligence capabilities.
  • Key Responsibilities Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability Improve infrastructure supporting AI and LLM-enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems Requirements You have extensive experience building and scaling large-scale backend and infrastructure systems in distributed environments You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively You understand the challenges of building systems that process high-volume multimedia or real-time workloads You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products.
  • You can demonstrate a good understanding of the quality scale and cost trade-offs of these technologies.
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Tech stack

JavaPythonScalaMicroservicesLLMs

Match insights

Tech:Java, Python, Scala, Microservices, LLMs
Level:Lead

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