Security Researcher

This is a fully remote position, open to applicants in Uzbekistan.

📋 Description

• Conduct research on browsers, WebView, Android, and iOS environments from the perspective of an attacker.

• Recognize security signals, behavioral indicators, and technical patterns to enhance detection of fraud, abuse, automation, and AI agents.

• Examine attacker methodologies involving bots, browser automation, AI agents, emulators, device spoofing, hooking, instrumentation, remote access tools, and anti-detection strategies.

• Create and execute experiments that compare genuine, automated, AI-assisted, and manipulated environments.

• Assess signals for their reliability, stability, spoofability, privacy concerns, performance effects, and production viability.

• Convert research results into SDK feature specifications for web and mobile data gathering.

• Develop internal tools, scripts, and laboratory settings for signal research and validation purposes.

• Collaborate with SDK, engineering, product, and detection teams to transition research from theory to production.

⛳️ Requirements

• Over 3 years of practical experience in security research, mobile security, browser research, fraud detection research, reverse engineering, or a similar technical position.

• Knowledge of web browsers, mobile browsers, WebViews, browser APIs, JavaScript runtime behavior, browser automation, fingerprinting, client-side web security, and low-level browser technologies.

• Familiarity with contemporary open-source browser architectures or codebases and rendering engines such as 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.

• An attacker mindset with a hands-on understanding of bypass techniques related to automation, AI agents, spoofing, and anti-detection methods.

• Capability to detect subtle technical signals and leverage them into actionable detection or data collection strategies.

• Proven experience in designing technical experiments and validating research hypotheses.

• Proficiency in SDK development languages and environments such as TypeScript/JavaScript, Kotlin/Java, or Swift/Objective-C.

• Scripting skills, preferably in Python.

• Ability to work independently on complex problems and communicate findings effectively to engineering, product, and research teams.

• Familiarity with Web SDKs, Mobile SDKs, client-side telemetry, device intelligence, behavioral signals, AI agent detection, or fraud detection products.

• Background 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.

• Understanding of detection quality measurement, feature evaluation, false-positive analysis, production monitoring, or machine learning concepts.

• Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or a related field—or equivalent practical experience.

🏝️ Benefits

• Security: thoroughly vetted clients to reduce risks and ensure reliability and timely payments.

• Career support and assistance in exploring new opportunities.

• Legal support for independent contractor or sole proprietor status, taxes, and related processes.

• English language courses.

• Opportunities for professional growth.

• Team-building activities.

• People-first management approach with minimal bureaucracy.

• Supportive company culture.

• Flexible working hours.

• Comprehensive financial and legal support for independent contractors.

• Complimentary English classes with native speakers or Ukrainian instructors.

• Dedicated HR assistance.