Member of Technical Staff (Software Engineer, Fraud Prevention)
- LocationLondon; Belgrade
- Work typeHybrid
- EmploymentFull-time
- Posted23 October 2026
- SourcePerplexity's careers page (Ashby)
Live checkFirst seen 3 h ago; still listed on Perplexity's careers page 3 h ago.
Posted beforeRoleFinder first saw this role on 25 October 2026, 15 days before this listing. Reposts are often real openings that took long to fill.
Moves fastWhen Perplexity takes a role down early, it is usually about 8 days after posting. Apply soon.
At a glance
- Experience5+ years
- Skills and toolsC++, Kubernetes, Terraform
Read from the ad by RoleFinder, with rules and an AI reading; the description is the source.
About the role
About the role
Perplexity's fraud prevention team protects our products, users, and infrastructure from fraud and abuse across the whole lifecycle: sign-up, authentication, payments, API usage, and product features. We build and operate a real-time decisioning platform together with the surrounding systems: data pipelines for detection and model training, integrations with product and payment systems, and internal tooling for investigation and response. As a software engineer on the team, you will own services end to end, from design to production operations, and work closely with fraud analysts, ML engineers, and product teams to make abuse expensive and legitimate usage frictionless.
Responsibilities
- Design, build, and operate high-throughput, low-latency backend services for fraud detection and prevention
- Build data pipelines and real-time feature computation that power detections and ML models
- Collect and process trust signals
- Integrate fraud decisions into product, auth, and payment flows across Perplexity
- Own reliability of production services: observability, alerting, safe rollouts, incident response
- Build internal tooling for investigation, enforcement, and auditability
- Partner with fraud analysts to turn new abuse patterns into production detections quickly
Qualifications
- 5+ years building and operating high-throughput, latency-sensitive backend systems in production
- Strong systems programming skills; Rust, Go, or C++ experience preferred (we write Rust)
- Hands-on experience with Kubernetes, Terraform and cloud infrastructure
- Solid data fundamentals: stream/batch computations, caching and storage trade-offs
- Pragmatic, ownership-driven approach: ship incrementally, measure, and make failures degrade safely
Nice to have
- Fraud prevention, anti-abuse, or payments-risk domain experience
- Experience serving ML models in production
- Client-side experience (web or mobile) for signal collection
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