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.

Backend Engineer I – User Fraud

Key skills