Member of Technical Staff – Software Engineer, Fraud Prevention

Perplexity

. Design, build, and operate high-throughput, low-latency backend services for fraud detection and prevention .

Posted 10/23/2026full-timeLondon • United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating high-throughput backend services for fraud detection, with strong skills in systems programming and cloud infrastructure management. Proficient in building data pipelines and integrating fraud prevention mechanisms into product workflows.

Highest-signal resume keywords

High-Throughput Backend SystemsRust ProgrammingKubernetesData Pipeline DevelopmentFraud Prevention Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Systems ProgrammingRustGoC++Data FundamentalsStream ComputationBatch ComputationCaching Trade-OffsMachine Learning Model ServingSignal Collection

Tools & Technologies

KubernetesTerraformCloud Infrastructure

Industry Keywords

Fraud DetectionAnti-AbusePayments RiskIncident ResponseObservabilityAlertingSafe RolloutsInternal ToolingInvestigationAuditability

Tech Stack

Tools & technologies

CloudKubernetesRustTerraformC++Go

About the role

Key responsibilities & impact

Design, build, and operate high-throughput, low-latency backend services for fraud detection and prevention
Build data pipelines and real-time feature computation powering detections and ML models
Collect and process trust signals
Integrate fraud decisions into product, authentication, and payment flows across Perplexity
Own production-service reliability, including observability, alerting, safe rollouts, and incident response
Build internal tooling for investigation, enforcement, and auditability
Partner with fraud analysts to rapidly turn new abuse patterns into production detections

Requirements

What you’ll need

5+ years building and operating high-throughput, latency-sensitive backend systems in production
Strong systems programming skills; Rust, Go, or C++ experience preferred (the company writes Rust)
Hands-on experience with Kubernetes, Terraform, and cloud infrastructure
Solid data fundamentals, including stream/batch computations and caching and storage trade-offs
Fraud prevention, anti-abuse, or payments-risk domain experience is nice to have
Experience serving ML models in production is nice to have
Client-side experience (web or mobile) for signal collection is nice to have