Requirements

• You have 5+ years of relevant engineering experience, with strong experience in backend and/or data engineering
• You have deep expertise in either backend or data engineering and are comfortable working across both disciplines
• You have experience building and scaling large-scale distributed systems
• You have strong programming experience in Java, Scala, and/or Python
• You understand how to design systems with scalability, reliability, performance, and cost in mind
• You’re comfortable taking end-to-end ownership of complex engineering problems
• You can translate technical problems into designs, RFCs, and executable engineering plans
• You communicate effectively and enjoy collaborating with engineering, product, and technical stakeholders
• You’re comfortable operating in an environment where backend, data, ML infrastructure, and AI increasingly overlap
• You’re able to participate in a shared on-call rotation

What You Will Be Doing

• Design, build, and evolve scalable backend and data systems powering Spotify’s content intelligence capabilities
• Take end-to-end ownership of significant engineering projects, from technical design and architecture through implementation and operation
• Build reliable infrastructure for large-scale content processing across audio, video, text, and images
• Create RFCs and contribute to architectural decisions within your squad and across connected systems
• Develop reliable and cost-efficient systems for high-throughput data and content-processing workloads
• Work with distributed data systems and large-scale content-management infrastructure
• Partner closely with other Engineers to plan and deliver technical solutions
• Contribute to AI and LLM-enabled workflows and infrastructure, including systems for content understanding, enrichment, and processing
• Evaluate and integrate AI capabilities into production systems at scale
• Build a strong understanding of adjacent systems and contribute to a shared on-call rotation
• Contribute to technical quality and engineering best practices across the team

Nice to Haves

• Experience with ML infrastructure, AI/LLM systems, agents, model evaluation, or integrating model APIs at scale is a plus
• Exposure to large-scale multimedia processing, audio processing, search, or recommendation systems is a plus

Perks and Benefits

• This role is based in London or Stockholm
• 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.