Spotify
Backend Engineer, User Fraud
Found: Today
This role is based in Stockholm with flexibility to work from home.
What you'll do:
- 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.
Who you are:
- 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.