Staff Engineer – Content Intelligence Infrastructure

. Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify’s content intelligence capabilities .

Posted 5/28/2026full-timeLondon • 🇬🇧 United KingdomLeadWebsite

Tools & technologies

Distributed SystemsJavaPythonScala

Key responsibilities & impact

Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify’s content intelligence capabilities
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
Develop reliable and cost-efficient systems for high-throughput content processing
Collaborate across organizational boundaries to drive alignment, technical quality, and long-term platform investments
Mentor engineers and contribute to raising the engineering bar across the organization

What you’ll need

Extensive experience building and scaling large-scale backend and infrastructure systems in distributed environments
Strong technical judgment and can balance scalability, reliability, cost, and product needs effectively
Strong programming experience in Java, Python, and/or Scala
Understanding of building systems that process high-volume multimedia or real-time workloads
Experience with systems and products that use AI and LLMs at large scale
Comfortable operating in ambiguous, fast-moving environments
Effective communication across engineering, product, and leadership stakeholders
Experience leading complex technical initiatives that span multiple teams or organizational areas
Care about collaboration, mentorship, and creating alignment across teams
Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus
Experience working in startup environments or early-stage product areas.

Comp & perks

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

ATS Keywords

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Hard Skills & Tools

JavaPythonScaladistributed systemsML infrastructuredata processing platformshigh-throughput content processingAILLMsmultimodal content processing

Soft Skills

technical judgmenteffective communicationcollaborationmentorshipalignmentleadershipproblem-solvingadaptabilitystrategic thinkinginitiative