
Security Researcher
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Ukraine.
• Conduct research on browser, WebView, Android, and iOS environments from the perspective of an attacker.
• Discover new security indicators, behavioral signals, and technical patterns aimed at enhancing detection of fraud, abuse, automation, and AI agents.
• Analyze techniques employed by attackers using bots, browser automation, AI agents, emulators, device spoofing, hooking, instrumentation, remote access tools, and anti-detection strategies.
• Design and execute experiments to compare legitimate, automated, AI-assisted, and manipulated environments.
• Assess signals for their reliability, stability, spoofability, privacy sensitivity, performance impact, and feasibility for production.
• Convert research outcomes into clear SDK feature specifications for web and mobile data collection.
• Develop internal tools, scripts, and laboratory environments for signal research and validation.
• Work collaboratively with SDK, engineering, product, and detection teams to transition research from theory to production.
• A minimum of 3 years of hands-on experience in security research, mobile security, browser research, fraud detection, reverse engineering, or a comparable technical position.
• Proficiency with web browsers, mobile browsers, WebViews, browser APIs, JavaScript runtime behavior, browser automation, fingerprinting, client-side web security, and low-level browser technologies.
• Familiarity with the architecture or codebase of contemporary open-source browsers and rendering engines like Chromium, WebKit, Blink, or Gecko.
• Experience with native Android and/or iOS applications, mobile OS behavior, app instrumentation, emulators, device spoofing, mobile automation, mobile security, and low-level platform APIs.
• A solid understanding of attacker techniques related to automation, AI agents, spoofing, and anti-detection methods.
• Capability to identify subtle technical signals and translate them into actionable detection or data collection strategies.
• Experience in designing technical experiments and validating research hypotheses.
• Familiarity with SDK development languages and environments, including TypeScript/JavaScript, Kotlin/Java, or Swift/Objective-C.
• Proficiency in scripting, preferably using Python.
• Ability to work independently on ambiguous issues and convey findings effectively.
• A Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or a related field is beneficial, or equivalent hands-on experience.
• Preferred experience with Web SDKs, Mobile SDKs, client-side telemetry, device intelligence, behavioral signals, AI agent detection, or fraud detection products.
• Preferred experience in researching bots, credential stuffing, scraping, headless browsers, AI-assisted automation, app cloning, SDK abuse, phishing kits, malware, or anti-detection frameworks.
• Experience in reverse engineering Android or iOS applications is a plus.
• Familiarity with detection quality measurement, feature evaluation, false-positive analysis, production monitoring, or concepts in machine learning is advantageous.
• Security: Thoroughly vetted clients to reduce risks while ensuring reliability and timely payments.
• Career assistance and support in finding new opportunities.
• Legal aid concerning independent contractor or sole proprietorship status, taxes, and related processes.
• English language courses.
• Opportunities for professional development.
• Team-building events.
• People-centric management with minimal bureaucracy.
• A friendly company culture.
• Flexible working hours.
• Comprehensive financial and legal support for independent contractors.
• Free English classes with native speakers or Ukrainian instructors.
• Dedicated HR support.
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