Threat Analyst (Fully Remote)

DataDome; United States; Remote; USD 60,000 - 85,000; Full time

Benefits offered by this job

Annual offsites

Monthly aperitifs

Friday breakfasts

Job summary

DataDome in the United States is seeking a customer support engineer to provide tier 2/3 assistance and collaborate with threat researchers on detection. This hands-on role blends security operations with customer support, offering exposure to cutting-edge AI-driven fraud detection and a collaborative, international work culture.

The role also includes analyzing web traffic to block malicious activity in real time, creating scripts to detect outliers, and adding new alerts to the platform, while

Qualifications

• Bachelor's degree in a relevant field.
• 2+ years in security or data analytics roles.
• Experience with Python, databases, and network/web infrastructure.

Responsibilities

• Provide level 2/3 customer support and collaborate with threat researchers on detection.
• Analyze web traffic data to identify and block malicious activity in real time.
• Create scripts to detect outliers and strengthen detection after past attacks.
• Identify potential attacks and add new alerts to the platform.

Skills

Python

Database languages

Network/web infrastructure

Education

Bachelor's degree

Job description

• Provide tier 2/3 customer support and collaborate with threat researchers on detection.
• Analyze web traffic data to identify and block malicious activity in real time.

Key Responsibilities:

• Create scripts to detect outliers and strengthen detection after past attacks.
• Identify potential attacks and add new alerts to the platform.

What We Look For:

• Bachelor's degree plus 2+ years experience in a relevant security/data role.
• Python, database languages, and network/web infrastructure expertise.

Life at DataDome:

• Multicultural team with almost 10 nationalities and a joyful workplace.
• Annual offsites, parties, monthly aperitifs, and Friday breakfasts.

DataDome

DataDome stops cyberfraud and bots in real time using a multi-layered AI engine built on intent analysis. The company is backed by a 24/7 SOC team and a multicultural R&D team, with a joyful workplace and many social events.