Member of Technical Staff (Software Engineer, Fraud Prevention)
Join Perplexity's fraud prevention team as a software engineer to build and operate backend services for fraud detection and prevention.
Posted by employer 8 hours ago
First seen on Joblaze 48 minutes ago
Last verified on the company career page 48 minutes ago
Skills & Technologies
What you'll build
- Design, build, and operate backend services for fraud detection and prevention
- Build data pipelines and real-time feature computation
- Collect and process trust signals
- Integrate fraud decisions into product, auth, and payment flows
- Build internal tooling for investigation and auditability
Must have
- 5+ years building and operating high-throughput, latency-sensitive backend systems
- Strong systems programming skills; Rust, Go, or C++ experience preferred
- Hands-on experience with Kubernetes, Terraform and cloud infrastructure
- Solid data fundamentals
Nice to have
- Fraud prevention, anti-abuse, or payments-risk domain experience
- Experience serving ML models in production
- Client-side experience for signal collection
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the software engineer will design and maintain backend services focused on fraud detection and prevention, ensuring high throughput and low latency. Key skills include proficiency in systems programming languages like Rust, Go, or C++, along with experience in cloud infrastructure and data processing. This position is ideal for someone with over five years of experience in building production systems, particularly those with a background in fraud prevention or related fields. The team collaborates closely with fraud analysts and ML engineers to enhance the effectiveness of their fraud prevention strategies.
Joblaze insights
- Listed today — first seen on Joblaze October 24, 2026. Last confirmed on Perplexity's careers page October 24, 2026.
- Kubernetes appears in 33.3% of 39 comparable senior backend roles in United Kingdom; C++ appears in 7.7% of 39 comparable senior backend roles in United Kingdom.
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Member of Technical Staff (Software Engineer, Fraud Prevention) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Go, Kubernetes, Rust, Terraform.
- What seniority level is this role?
- Perplexity targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff (Software Engineer, Fraud Prevention) role at Perplexity.
From the original posting
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