Data Analyst f/m

⭐ 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 & Angular 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 w/m 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.

You will be more specifically in charge of:

• Be part of our threat research team, collaborate with threat researches and data scientists to challenge our detection engine on a daily basis
• Analyzing huge web traffic data sets (across more than 100 billions documents) to identify and block malicious traffic
• Creating automates/scripts to detect outliers in our global traffic
• Contributing to support by analyzing past attacks to strenghten our detection!
• Identifying potential attacks and add new alerts to our detection platform