Member of Technical Staff (Software Engineer, Fraud Prevention)

Job summary

Responsibilities

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.

• 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

What they're looking for

• 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

Tech stack

• Rust
• Go
• C++
• Kubernetes
• Terraform