Security Researcher

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

📋 Description

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

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

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

• Create and execute experiments that contrast legitimate, automated, AI-assisted, and manipulated environments.

• Assess signals for dependability, stability, spoofability, privacy sensitivity, performance impact, and production viability.

• Convert research outcomes into SDK feature specifications for web and mobile data acquisition.

• Develop internal tools, scripts, and lab environments for signal research and validation.

• Work collaboratively with SDK, engineering, product, and detection teams to transition research from hypothesis to production.

⛳️ Requirements

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

• 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 contemporary open-source browser and rendering-engine architectures or codebases, including 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.

• Practical knowledge of attacker techniques involving automation, AI agents, spoofing, and anti-detection methods.

• Capability to detect subtle technical signals and leverage them for detection or data collection opportunities.

• Experience in designing technical experiments and validating research hypotheses.

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

• Proficiency in scripting, preferably in Python.

• Ability to independently tackle ambiguous issues and effectively communicate findings to engineering, product, and research stakeholders.

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

• Background in researching bots, credential stuffing, scraping, headless browsers, AI-assisted automation, app cloning, SDK abuse, phishing kits, malware, or anti-detection frameworks is advantageous.

• Experience in reverse engineering Android or iOS applications is a bonus.

• Familiarity with detection quality measurement, feature evaluation, false-positive analysis, production monitoring, or concepts related to machine learning is a plus.

• A Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or a related field—or equivalent hands-on experience—is preferred.

🏝️ Benefits

• Security: thoroughly vetted clients to reduce risks and guarantee reliable and timely payments.

• Career support and assistance in locating new project opportunities.

• Legal guidance regarding independent contractor or sole proprietorship status, taxes, and related processes.

• English language courses.

• Opportunities for professional development.

• Team-building events.

• People-first management style 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.