Security engineer in bot detection

Ventula Consulting; Amsterdam; On-site; EUR 80,000 - 110,000; Full time

Job summary

Ventula Consulting Ltd. is seeking a Security Engineer to build and improve bot-detection across web, mobile, API and edge services.

You will develop signals and classification logic to distinguish people, legitimate bots, AI-driven bots and other automated traffic, helping protect platforms while minimising disruption to genuine customers. You will work closely with security, engineering, data and product teams to balance security with customer impact, measure detection quality, and drive

Qualifications

• Experience building or operating production software, security systems or traffic-protection capabilities.
• Strong coding skills in Python, Go or Java, including testing and maintaining production systems.
• Understanding of web, mobile, API or edge security and automated-traffic abuse patterns.
• Strong communication skills across security, engineering, data and product teams.
• Balance security effectiveness with false positives and customer impact.

Responsibilities

• Build, test and tune bot-detection signals, behavioural analytics and classification logic.
• Improve telemetry, data quality and attribution across application and platform services.
• Manage detection changes using version control, testing, staged rollouts and rollback controls.
• Measure detection quality, including precision, recall, coverage and false positives.
• Investigate changing bot behaviour and evasion techniques to improve detection capabilities.
• Develop monitoring and reporting to support proportionate traffic-management decisions.

Skills

Python

Go

Java

Bot detection

Telemetry

Data analysis

Testing

Version control

Security engineering

Communication

Job description

We’re looking for a Security Engineer to build and improve bot-detection capabilities across web, mobile, API and edge services. You’ll develop signals and classification logic to distinguish people, legitimate bots, AI-driven bots and other automated traffic, helping protect platforms while minimising disruption to genuine customers.

• Build, test and tune bot-detection signals, behavioural analytics and classification logic.
• Improve telemetry, data quality and attribution across application and platform services.
• Manage detection changes using version control, testing, staged rollouts and rollback controls.
• Measure detection quality, including precision, recall, coverage and false positives.
• Investigate changing bot behaviour and evasion techniques to improve detection capabilities.
• Develop monitoring and reporting to support proportionate traffic-management decisions.
• Experience building or operating production software, security systems or traffic-protection capabilities.
• Strong coding skills in Python, Go or Java, including testing and maintaining production systems.
• Experience analysing event or traffic data and developing detection logic, behavioural signals or classification systems.
• Understanding of web, mobile, API or edge security and automated-traffic abuse patterns.
• Ability to balance security effectiveness with false positives and customer impact.
• Strong communication skills across security, engineering, data and product teams.