Security Researcher & Analyst - Application Security
CloudflareHybridPosted 24 February 2026
Job Description
<div class="content-intro"><div><strong>About Us</strong></div>
<div>
<p>At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. </p>
<p><span style="font-weight: 400;">We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! </span></p>
</div></div><p><strong>Available Locations: <span class="il">Bengaluru, India</span></strong></p>
<p><strong>About The Department</strong></p>
<p>Cloudflare’s Application Security department builds and runs the software that detects and mitigates malicious, abusive, and fraudulent HTTP requests going through Cloudflare network before they reach our customer sites. We achieve this by harnessing the vast amount of internet traffic data available to us to create and manage products including WAF, Bot Management, Fraud Detection and more. We use state of art Artificial Intelligence and Machine Learning techniques in security attack detection and mitigation. The team is a multidisciplinary team where system and software engineers, security researchers and analysts, and data scientists work together to identify active adversaries or attackers, and design and implement machine learning models and engineering solutions to protect customers from these security attacks. </p>
<p><strong>What You’ll Do</strong></p>
<ul>
<li>Hands-on experience working with threat detection and prevention product engineering teams, recognizing vulnerabilities and configuring mitigations or managing risks in existing and new products.</li>
<li>Apply a deep understanding of security vulnerabilities in web application and application security. </li>
<li>Reverse and research n-day exploits, proactively detect patterns of bot and fraud attacks, review false positive and false negative reports, and recommend security configurations.</li>
<li>Excellent at communicating the details about security forensics to technical and non-technical audiences. Including writing public facing research blogs.</li>
<li>Authoring periodic report on trends on Internet traffic and security attack insights</li>
<li>Experience with modern cloud-based technologies used to deliver rapidly-changing products at scale.</li>
<li>Conduct penetration testing to identify security gaps and potential exploits across applications and services.</li>
<li>Develop, maintain, and enhance security dashboards to monitor and analyze attack trends, bot activity, and fraud detection metrics.</li>
<li>Leverage strong coding skills to build and automate security tools, improve system engineering workflows, and develop new security rules and heuristics.</li>
</ul>
<p><strong>Examples of desirable skills, knowledge and experience.</strong></p>
<ul>
<li>A degree in computer science, IT, systems engineering, or related qualification.</li>
<li>4 years of work experience with incident detection, incident response, forensics, reverse engineering, security research or similar.</li>
<li>Ab ... (truncated, view full listing at source)
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