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Founding Device Fingerprinting Engineer

prelude · Paris

Nouveau
Senior 🇬🇧 English
Go Rust Python TLS fingerprinting JA3 JA4 IP enrichment machine learning feature engineering anomaly detection clustering classification Android SDK Play Integrity SafetyNet DeviceCheck Kafka SQS ClickHouse Redshift

Description du poste

About the role

Prelude is building the next generation of fraud‑detection technology and needs a founding engineer to own its device fingerprinting platform. You will define the architecture, lead research, ship production systems and eventually build a team around this critical capability.

Key responsibilities

  • Design and implement end‑to‑end fingerprinting pipelines, from signal collection in iOS/Android SDKs and server APIs to real‑time feature generation.
  • Develop robust device identity mechanisms, including persistent IDs, rooted/emulated device detection, hardware attestation and anti‑spoofing for web and mobile.
  • Create network intelligence signals such as IP reputation, proxy/VPN detection, TLS/JA3/JA4 fingerprinting and carrier enrichment.
  • Apply machine‑learning techniques—anomaly detection, clustering, supervised classification—to turn raw attributes into high‑fidelity fraud signals.
  • Integrate low‑latency features into Prelude’s real‑time scoring engine and continuously research attacker techniques to stay ahead of evasion methods.

Required profile

  • 5+ years of experience delivering production‑grade fraud, bot‑mitigation or mobile‑security systems.
  • Deep understanding of device fingerprinting, OS‑level attestation (Play Integrity, DeviceCheck, SafetyNet) and network intelligence.
  • Adversarial mindset with hands‑on knowledge of emulators, spoofing tools and proxy infrastructures.
  • Strong bias for simple, scalable designs that survive active attack pressure.

Required skills

  • Go, Rust or Python for backend and data processing.
  • Experience with TLS fingerprinting (JA3/JA4), IP enrichment, proxy/VPN classification, AS analysis.
  • Machine‑learning expertise: feature engineering, anomaly detection, clustering, classification.
  • Familiarity with iOS and Android SDK internals, Play Integrity, SafetyNet, DeviceCheck.
  • Knowledge of stream processing (Kafka, SQS) and OLAP stores (ClickHouse, Redshift).

What we offer

  • Competitive salary plus BSPCE equity participation.
  • Flexible remote policy with subsidised office travel.
  • Health insurance, gym membership, Swile meal vouchers and free office snacks.
  • Annual off‑site, modern office in Paris and all necessary equipment.

Questions fréquentes

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Source : ats:ashby

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