⭐ DataDome’s bot & online fraud protection platform stops sophisticated attacks with unparalleled accuracy and zero compromise. Our multi-layered machine learning detection engine analyzes 5 trillion signals daily and scans every request in real-time. Hundreds of enterprises worldwide—including Rakuten, New York Times, Foot Locker, SoundCloud and much more trust DataDome’s solution and 24/7 SOC and Threat Research experts to protect their websites, mobile apps, and APIs against online fraud, ATO, carding, scraping, layer 7 DDoS, credential stuffing, ad fraud, and more.
With record time to value, DataDome is fully transparent, easy to deploy, and frictionless for consumers. We offer the only secure, user-friendly, and privacy-compliant CAPTCHA and Device Check, the first invisible alternative. With 26 regional PoPs and autoscaling technology, DataDome responds to requests with zero latency and no impact on speed or UX. DataDome also offers additional solutions, specialized to combat human-driven account fraud and bot-driven ad fraud.
DataDome is consistently ranked a top G2 Leader in Bot Detection & Mitigation, was named a Strong Performer in the most recent Forrester Wave: Bot Management, ranked on the Deloitte Technology Fast 500 and Inc. 5000 lists, and won the 2023 SC Awards Europe for Best use of Machine Learning/AI. Certified a Great Place to Work in the US and France, DataDome’s team of BotBusters spans the globe.
⭐ About the team:
Made up of six subteams (Dashboard, Engine, Infrastructure, Integrations, Threat Research & Security), the DataDome tech team is spread across Europe and the US. We handle over 2 000 billion events per day giving responses within 3ms (99p). We are present in more than 25 data centers around the world, deployed using Docker.
We deploy on AWS, Scaleway, Vultr, and GCP, using Docker, Ansible and Terraform, and monitor with Grafana and Prometheus. We handle an average of 8 billion requests per day and manage more than 300 TB of data per month.
When it comes to our stack, we run real-time detection layer in Java, low latency Stream Engine running on Flink in Scala, ElasticSearch for storage, Kafka for communication between layers, HAProxy for load balancing, Symfony 5 & Angular 9 for our dashboards. We use Slack, GitHub, Hangouts, & StackOverflow for Teams. While previous experience in cyber is not a must, we'll pair you with mentors who will help you bridge the gaps. As #growth is part of our DNA, we’ll give you the resources and support you need to develop mastery.
We are looking for a Cyber Security Analyst who will be in charge of analyzing the bot traffic collected by our detection platform, creating dedicated data visualizations, helping our customers to decide how to act when they are encounter bot attacks. The team’s mission is to have the best bot detection, block all bots and the non-human. There are currently 17 people on the team, spread between France and the US. The team is continuing to grow and already has more than 5 nationalities.
👉 You will be more specifically in charge of:
👤 What we look for:
Bonus points
What’s in it for you?
What are the next steps?
You x Talent Acquisition Manager : first interview and cultural fit
You x Engineering Manager : technical and cultural fit + Take-home technical challenge
You x Team: Presentation and review of your "technical proposal" with the team
You x Member of the leadership team - Discussion about DataDome vision and "raison d'être" ?
Now you really met everyone Welcome to DataDome
DataDome is an equal-opportunity employer, and proud to be committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.