Jobgether تعلن عن وظيفة مدير عمليات في السعودية
🏢 Jobgether
Jobgether تعلن عن وظيفة باحث أمني - Bot Detection Adversarial Research في السعودية
Security Researcher - Bot Detection Adversarial Research
🏢 Jobgether
تفاصيل الوظيفة
Jobgether تعلن بالنيابة عن شركة شريكة عن وظيفة باحث أمني - أبحاث عدائية لكشف البوتات (Security Researcher - Bot Detection Adversarial Research) في السعودية. تقوم الوظيفة على تحليل ومحاكاة ومواجهة أنظمة كشف البوتات وأتمتة مكافحة التزييف على نطاق واسع، وتتطلب خبرة تقنية وبحثية عميقة.
المهام والمسؤوليات
- إجراء أبحاث متقدمة حول أنظمة مكافحة البوتات وتقنيات حماية الويب والآليات التي تعيق جمع البيانات على نطاق واسع.
- تصميم وبناء وتحسين البنية التحتية لعملاء HTTP لضمان جمع بيانات ويب موثوق وفعّال على نطاق واسع.
- هندسة عكسية للأنظمة العدائية بما في ذلك تقنيات البصمة واستراتيجيات التخفيف من البوتات لتحديد نقاط الضعف والتحايل عليها.
- مراقبة المعايير والبروتوكولات والتقنيات الأمنية الناشئة على الويب التي قد تؤثر على قدرات جمع البيانات.
- تطوير وتحسين طرق محاكاة الخصوم الحقيقيين ضد أنظمة مكافحة البوتات لتقييم مرونة النظام.
- المساهمة في تطوير منصات جمع البيانات واسعة النطاق من خلال تحسينات هندسية مدفوعة بالبحث.
- التعاون مع فرق الهندسة والبحث لترجمة النتائج إلى حلول جاهزة للإنتاج.
الشروط والمتطلبات
- خبرة لا تقل عن 5 سنوات في البحث والتطوير، أمن المعلومات، هندسة البرمجيات، أو أدوار اختبار في بيئات تقنية معقدة.
- فهم قوي لبروتوكولات HTTP و TLS وكيفية استخدامها والتلاعب بها في الأنظمة الواقعية.
- خبرة في مجالين على الأقل من: البرمجة بلغة JavaScript أو TypeScript أو Python أو C++؛ اختبار الاختراق أو الأمن الهجومي (OSCP, OSEP)؛ أمن الويب أو الهواتف المحمولة؛ الهندسة العكسية (إزالة تعتيم JS أو تحليل ثنائيات)؛ تحليل البرامج الضارة؛ أو تطوير أنظمة مكافحة البوتات/جدران الحماية/هجمات الحرمان من الخدمة.
- خبرة عملية في تقنيات الهندسة العكسية وتحليل الأنظمة العدائية.
- الإلمام بتقنيات مكافحة البوتات، أدوات أمن الويب، أو أنظمة الحماية واسعة النطاق يُعد ميزة قوية.
- عقلية تحليلية قوية مع القدرة على تفكيك الأنظمة المعقدة وتحديد نقاط الضعف.
- مهارات تواصل باللغة الإنجليزية بطلاقة (كتابة وتحدثًا).
- خبرة في بيئات أمن الويب أو التركيز على مكافحة البوتات مرغوبة بشدة.
المزايا
- تعويض تنافسي يتماشى مع الخبرة والخبرات التقنية.
- بيئة عمل عن بُعد بالكامل مع تعاون مع فريق عالمي.
- فرصة العمل على أبحاث أمنية عدائية وأنظمة ويب على نطاق واسع.
- درجة عالية من الاستقلالية والتحكم في اتجاه البحث والقرارات التقنية.
- التعرض لتحديات أمنية واقعية ومعقدة على نطاق ضخم.
- ثقافة بحث وهندسة تعاونية وقوية تقنيًا.
- فرصة للتأثير المباشر على تطور أنظمة جمع البيانات واسعة النطاق.
عرض النص الأصلي للإعلان
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Security Researcher - Bot Detection Adversarial Research based in Saudi Arabia.
This is a highly technical and research-driven role focused on analyzing, simulating, and countering advanced bot detection and anti-automation systems at scale. You will work on the front line of web security and data collection, reverse engineering sophisticated protection mechanisms and developing resilient solutions that ensure reliable access to public web data. The role combines deep protocol expertise, offensive security thinking, and systems-level engineering to improve large-scale data collection infrastructure. You will contribute to building and optimizing HTTP clients, exploring emerging anti-bot technologies, and identifying new patterns that impact collection performance. Operating in a fast-evolving security environment, you will have significant autonomy to shape research direction and technical approaches. This position is ideal for someone who thrives on complex adversarial challenges and cutting-edge web security research.
Accountabilities
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This is a highly technical and research-driven role focused on analyzing, simulating, and countering advanced bot detection and anti-automation systems at scale. You will work on the front line of web security and data collection, reverse engineering sophisticated protection mechanisms and developing resilient solutions that ensure reliable access to public web data. The role combines deep protocol expertise, offensive security thinking, and systems-level engineering to improve large-scale data collection infrastructure. You will contribute to building and optimizing HTTP clients, exploring emerging anti-bot technologies, and identifying new patterns that impact collection performance. Operating in a fast-evolving security environment, you will have significant autonomy to shape research direction and technical approaches. This position is ideal for someone who thrives on complex adversarial challenges and cutting-edge web security research.
Accountabilities
- Conduct advanced research on anti-bot systems, web protection technologies, and mechanisms that block large-scale data collection.
- Design, build, and improve HTTP client infrastructure to ensure reliable and efficient web data acquisition at scale.
- Reverse engineer adversarial systems, including fingerprinting techniques and bot mitigation strategies, to identify weaknesses and bypass mechanisms.
- Monitor emerging web standards, protocols, and security technologies that may impact data collection capabilities.
- Develop and refine methods for simulating real-world adversaries against anti-bot systems to evaluate system resilience.
- Contribute to the evolution of large-scale data collection platforms through research-driven engineering improvements.
- Collaborate with engineering and research teams to translate findings into production-ready solutions.
- 5+ years of experience in R&D, security research, software engineering, or testing roles in complex technical environments.
- Strong understanding of HTTP and TLS protocols and how they are used and manipulated in real-world systems.
- Experience in at least two of the following areas: programming in JavaScript, TypeScript, Python, or C++; penetration testing or offensive security (e.g., OSCP, OSEP); web or mobile security research; reverse engineering (including JS deobfuscation or binary analysis); malware analysis; or anti-bot/WAF/DDoS system development.
- Hands-on experience with reverse engineering techniques and adversarial system analysis.
- Familiarity with anti-bot technologies, web security tools, or large-scale protection systems is a strong advantage.
- Strong analytical mindset with the ability to break down complex systems and identify weaknesses.
- Fluent English communication skills, both written and verbal.
- Experience working in web security or anti-bot-focused environments is highly desirable.
- Competitive compensation aligned with experience and technical expertise.
- Fully remote work environment with global team collaboration.
- Opportunity to work on cutting-edge adversarial security and web-scale systems.
- High level of autonomy and ownership over research direction and technical decisions.
- Exposure to complex, real-world security challenges at massive scale.
- Collaborative and technically strong research and engineering culture.
- Opportunity to directly influence the evolution of large-scale data collection systems.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
المصدر: LinkedIn — أُضيفت للموقع في 11 يونيو 2026