Backend Engineer - User Fraud

Build, deploy, and operate backend (Java) services that mitigate fraud and abuse at scale

Collaborate closely with data engineers and work with Spotify’s data tech stack (Scala, Scio, Google Dataflow)

Evolve a distributed mitigation platform used by internal fraud detection teams

Design APIs, workflows, and system safeguards that protect legitimate users while reducing attacker impact

Improve system reliability, scalability, and observability using metrics, logs, and tracing

Partner with engineering teams across Europe and the US to integrate mitigation capabilities into broader systems

Contribute to strong engineering practices including code reviews, documentation, and incident learnings

You have 2+ years of experience designing, building, and operating backend services in production environments

You are experienced with APIs, distributed systems, and service-to-service communication

You have a strong understanding of data modeling and working with SQL and/or NoSQL databases

You care about system reliability, scalability, and operational excellence

You use metrics, logging, and monitoring to understand and improve system behavior

You communicate clearly and collaborate effectively with cross-functional teams

You’re curious about trust, safety, fraud, or adversarial problem spaces

This role is based in Stockholm or London

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.