<p>DataDome protects businesses from cyberfraud and bots in real time, securing websites, mobile apps, ads, and APIs. Named a Leader in The Forrester Wave™ Bot Management 2024, DataDome is trusted by leading brands like Foot Locker, Tripadvisor, and SoundCloud. Its AI-powered Cyberfraud Protection Platform processes 5 trillion signals daily—without compromising performance. Backed by DataDome Advanced Threat Research, the platform stays ahead of emerging threats and autonomously stops over 350 billion attacks annually. With 50+ integrations, 30+ global PoPs, and 24/7 SOC coverage, DataDome has record-fast time to value. Recognized as a G2 Leader and one of G2’s Best Security Products of 2024, DataDome delivers protection that outperforms.&nbsp;</p>

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<h4>⭐ About the team:</h4>
<p></p>
<p>DataDome stops cyberfraud and bots in real time, outpacing AI-driven fraud from simple to sophisticated across your sites, apps, and APIs. Named a Leader in the Forrester Wave for Bot Management, the DataDome platform is built on a multi-layered AI engine that focuses on intent, not just identity. Because it’s not about knowing who’s real, it’s about what they intend to do. With thousands of AI models that adapt to every fraudulent click, signup, and login, DataDome blocks fraud in less than 2 milliseconds, without compromising performance. DataDome is fully automated and integrates seamlessly into any tech stack. Backed by a 24/7 SOC team of advanced threat researchers, DataDome stops over 350 billion attacks annually. Experience protection that outperforms with DataDome.</p>
<h4>You will be more specifically in charge of:</h4>
<ul>
<li>Providing (tier 2 and 3) support to our customersBe part of our threat research team, collaborate with threat researches and data scientists to challenge our detection engine on a daily basis</li>
<li>Analyzing huge web traffic data sets (across more than 100 billions documents) to identify and block malicious traffic</li>
<li>Contributing to support by analyzing past attacks to strenghten our detection!</li>
<li>Collaborate with threat researchers to challenge and optimize DataDome real-time detection engine capabilities</li>
<li>Creating automates/scripts to detect outliers in our global traffic</li>
<li>Identifying potential attacks and add new alerts to our detection platform</li>
</ul>
<p>👤 <strong>What we look for:</strong></p>
<ul>
<li>Bachelors Degree Required in a relevant field</li>
<li>At least 4 years in similar experience</li>
<li>Have a previous experience in (web) cyber security</li>
<li>Familiar with at least one scripting language (preferably Python) to automate analysis and detection tasks</li>
<li><strong>Have a real passion for data, security and automated attacks mitigation</strong></li>
<li>Have expertise on network or web infrastructure (HTML, HTTP, CDN, DNS, IPv4/IPv6, cookies)</li>
<li>Master at least one DataBase language: MySQL/NoSQL/ElasticSearch</li>
</ul>
<h4>Bonus points</h4>
<ul>
<li>You implement bots during your spare time</li>
<li>You have already used Kibana</li>
<li>You have already worked in adtech</li>
</ul>
<h4>By joining DataDome you will have access to:</h4>
<ul>
<li>A stimulating work environment with passionate individuals and a talented R&D team creating innovative solutions, making DataDome one of the strongest performers in the bot protection industry.</li>
<li>A multicultural and diverse team with almost 10 different nationalities in the office!</li>
<li>A joyful workplace with many events throughout the year : annual offsite, summer and Christmas parties; one thematic aperitif per month, breakfast every Friday morning...</li>
</ul>
<h4>What are the next steps?</h4>
<p>You x Talent Acquisition Manager : first interview and cultural fit</p>
<p>You x Engineering Manager : technical and cultural fit + Take-home technical challenge</p>
<p>You x Team: Presentation and review of your "technical proposal" with the team</p>
<p>You x Member of the leadership team - Discussion about DataDome vision and "raison d'être" ?</p>
<p>Now you really met everyone Welcome to DataDome :)</p>
<p>DataDome is an equal opportunity employer, and proud to be committed to diversity and inclusiveness. We will consider all qualified applicant without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.</p>
<p></p>

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The People team guarantees a flawless employee experience. Consisting of experts in Talent Acquisition, Employer Branding, Employee Engagement, Culture, and People Operations, this team is the heartbeat of DataDome and ensures the organization operates as a well oiled machine.

Team People

This team consists of backend, frontend, and full stack engineers responsible for developing new features in the customers’ dashboard. They improve overall performance by investigating production bugs, and proposing new ideas for design or architectural improvements.

Tech Team - Dashboard

Led by software and data engineers, this team contributes to DataDome’s stream analysis platform to improve detection capability, quality, and improvement of server-side modules.

Tech Team - Engine

Mobile, Software, and Backend Engineers collaborate on this team to improve current solutions by building and maintaining mobile SDKs and new server side modules to enable customer integrations.

Tech Team - Integrations

Spread throughout Europe, the SRE team is made up of profiles specialized in DevSecOps, DevOps, Infrastructure IT Support Managers, and an Operations Manager in charge of improving DataDome’s delivery processes and providing a reliable, scalable platform for customers.

Tech Team - SRE

This group consists of 3 sub teams focused on Data Analysis, Data Science, and Detection. They are responsible for discovering new innovative ways to use ML technologies, contributing to continuous improvement of our real-time detection engine by adding new signals, analyzing real-time bot traffic, and creating dedicated data visualizations to help customers decide how to act when they encounter bot attacks.

Senior Cyber Security Analyst

DataDome

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