Anyfin is building the next generation of consumer finance. We’re profitable, scaling quickly, and now operating with a banking license which opens up a lot of technical complexity. We’re looking for a senior backend engineer with cloud experience who enjoys moving fast, taking real ownership, and building things that actually have an impact. If that sounds like your kind of environment, keep reading. Because honestly, it’s not a role for everyone. Small team, high responsibility We hire carefully. We’re not a company that grows by adding headcount everywhere, we grow by keeping the bar high and building a team where every person matters. This isn’t a place where you disappear into a big org. If you join, you’ll have real influence on what we build and how we build it. What you’ll do Building, optimizing and scaling robust financial backend systems using Node.js and SQL (Postgres) Working primarily in the backend while contributing to our cloud infrastructure, helping design and operate systems across networking, servers and database architectures to support scalable and reliable services. Contributing to system architecture to ensure scalability, reliability, and long-term maintainability of financial systems. Collaborating closely with cross-functional teams to shape both product direction and business strategy. Sharing backend expertise with the team while promoting best practices, along with strong cloud and infrastructure competence. Our main stack is TypeScript, Node.js, React, React Native running on Google Cloud Platform. How we think about building We’re pragmatic. We like speed, but we also care about building things that last. AI isn’t a side tool here. It’s embedded in how we work helping engineers move faster, reduce friction and focus on solving meaningful problems. We’re looking for engineers who are curious about that shift and want to be part of it, rather than people who feel like good engineering means doing everything the hard way. No ego. Just g
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Role overview
Job description
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
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
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
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.
What they are looking for
Skills & requirements
Department · Engineering
Hiring company
Spotify
Spotify is a digital music service that gives you access to millions of songs, podcasts, and audiobooks. Listen to your favorites online now.
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