{"id":558828,"url":"https://alion.io/job/prelude-music-studio-founding-device-fingerprinting-engineer","title":"Founding Device Fingerprinting Engineer","company":{"id":276133,"name":"Prelude Music Studio","domain":"prelude.com.sg","url":"https://alion.io/company/prelude","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":12,"ghost_share":0.25,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":63,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Paris, France"],"countries":["FR"],"hiring_countries":["FR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":101000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false},{"name":"VPN","optional":false},{"name":"WhatsApp","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Android SDK","optional":true},{"name":"Apache Kafka","optional":true},{"name":"ClickHouse","optional":true},{"name":"Go","optional":true},{"name":"Python","optional":true},{"name":"Rust","optional":true}],"status":"live","first_seen_at":"2026-04-16T11:56:02Z","employer_posted_date":"2026-04-16","last_verified_at":"2026-11-12T23:28:47Z","board_verified":true,"closed_at":null,"days_open":210,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":209},"description":"About Prelude\nPrelude is redefining how companies authenticate and onboard users - turning what's traditionally a cost center into a growth lever.\nOur flagship product lets businesses send OTP codes with the best price-to-conversion ratio on the market, dynamically selecting the most effective channel in real time (optimized SMS, WhatsApp, and more) while actively blocking spam and fraud that legacy providers miss.\nFounded in 2022 by former Zenly team members who lived the pain of broken SMS authentication firsthand, we're already serving fast-growing companies across Europe and are expanding into the US.\nBut authentication is only the starting point - we're building the platform for trust at scale, with an ambitious roadmap of market-defining products ahead.\nWhy join us\nToday, we're a team of 60 and growing, based in Paris, building products that power secure and high-performance user onboarding for companies across the world. We believe small, highly skilled teams outperform large, fragmented organizations, and we are intentional about staying focused on impact, quality, and speed.\nWe operate with a flat org structure and value in-person collaboration, which helps ideas move faster, decisions stay grounded, and teams take full ownership of what they build.\nOur values\nCare We care deeply about our customers, our teammates, and the quality and reliability of what we ship.\n\nBias for Action We move fast, test in the real world, and iterate quickly rather than over-optimizing in theory.\n\nOwnership We take responsibility end to end, from identifying problems to delivering outcomes and learning from results.\n\nAbout the role\nFingerprinting is becoming a first-class pillar of Prelude's fraud detection engine - and this is the founding role that will define it. You will own the entire fingerprinting surface: architecture, research, production systems, and eventually the team we build around you. You'll report directly to leadership and shape the roadmap from scratch.\nFraud is an adversarial game. Attackers use emulators, residential proxies, VPNs, device spoofing, and anti-detect tooling to flood our customers' authentication pipelines with fake traffic. Your job is to make that invisible - or at least expensive enough not to be worth it.\nYou'll build the systems that collect, process, and exploit device and network signals at scale: from raw hardware attributes and TLS fingerprints to IP risk scoring and carrier intelligence. You'll combine classical feature engineering with ML to produce high-fidelity risk signals that feed our real-time scoring engine - processing millions of authentication attempts per day in milliseconds.\nThis role sits at the intersection of security research, systems engineering, and applied machine learning. It's for someone who thinks like an attacker, builds like an engineer, and reasons like a data scientist.\nWhat you'll be doing:\nOwning the fingerprinting roadmap end to end - from signal collection in our mobile SDKs (iOS, Android) and server-side APIs, to the feature engineering pipelines that turn raw attributes into fraud signals\n\nBuilding and hardening device fingerprinting systems - persistent device identity across app reinstalls, rooted/emulated device detection, hardware attestation, and spoofing resistance for both web and mobile contexts\n\nDeveloping network intelligence signals - IP reputation scoring, proxy/VPN/datacenter detection, TLS/JA4 fingerprinting, carrier and MCCMNC enrichment, and residential vs. commercial traffic classification\n\nApplying ML to fingerprinting problems - anomaly detection on device attribute distributions, clustering to identify fraud rings sharing infrastructure, supervised classification of suspicious signal patterns, and adversarial robustness against evolving evasion techniques\n\nIntegrating with our real-time scoring engine - producing low-latency features that enrich our per-authentication risk model under strict latency constraints\n\nResearching attacker techniques - reverse-engineering anti-detect tooling, automation frameworks, and bypass techniques to stay ahead of the adversarial curve\n\nLaying the groundwork for a team - defining engineering standards, research practices, and data pipelines that will scale as we hire around you.\n\nWhat we're looking for:\n5+ years of experience in a relevant field - fraud detection, bot mitigation, mobile security, or detection engineering; you've shipped systems in production, not just research prototypes\n\nDeep knowledge of device fingerprinting - mobile hardware signals, OS-level attestation (Play Integrity, DeviceCheck, SafetyNet), browser fingerprinting APIs, and spoofing/emulation detection\n\nHands-on experience with network intelligence - TLS fingerprinting (JA3/JA4), IP enrichment pipelines, proxy/VPN classification, AS number analysis, and carrier-level signals\n\nApplied ML experience in a security context - feature engineering, anomaly detection, clustering, and classification with end-to-end ownership from training through production deployment\n\nAn adversarial mindset - you know the attacker landscape (emulators, spoofing techniques, anti-detect browsers, residential proxy networks) and design systems with bypass attempts already in mind\n\nA preference for simple, robust designs over clever, fragile ones - with strong intuition for what will hold up at scale under active adversarial pressure\n\nFluent English, given our international team and customer base\n\nNice to have:\nFamiliarity with phone/SIM authentication context, GSMA intelligence, or telco APIs\n\nExperience with JA4 or other network fingerprinting techniques\n\nProficiency in Go, Rust, or Python for backend/data work\n\nExperience with stream processing systems (SQS, Kafka) or OLAP stacks (ClickHouse, Redshift)\n\niOS or Android SDK internals knowledge\n\nPublished research, open-source contributions, or technical writing in the fraud/bot detection space.\n\nWhat can we offer you?\nCompetitive compensation package with BSPCEs\n\nFlexible remote policy\n\n100% travel to the office subsidised\n\nHealth insurance via Alan\n\nUrban Sports Club gym membership\n\nWe will provide you with the gear you need for your role (a laptop and a phone, for on-call rotations)\n\nSwile meal vouchers\n\nFree snacks and drinks in the office\n\nAn annual offsite in a great location (last one was at La Pradet!)\n\nThe opportunity to build something from 0-1, and make an impact every 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