Skills this job asks for
Data engineeringMachine learningRustC++KubernetesTerraform
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Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Can’t check pay against the visa rules
- No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
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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View original listing ↗
London