Working Student Cyber and IT Security Engineering (m/f/d)

Introduction

Join our Information Security Division in Munich (Germany) at the earliest possible date.

Tasks

• You support with automation initiatives in the Security Operations Center, leveraging machine learning, large language models, and workflow automation
• You develop prototypes for use cases such as alert enrichment, triage support, case summarization, and threat intelligence processing
• You analyze security workflows and identify potential for reducing manual activities
• You implement, test, and document automation scripts, detection logic, and SOC tool integrations
• You support the conception and implementation of AI-driven detection and response approaches
• You assist with stakeholder communication and actively contribute to project management

Qualifications

• You are enrolled in a degree program in Computer Science, Cybersecurity, Data Science, Information Systems, or a related field
• You have foundational knowledge in machine learning, LLMs, or AI-based automation and are ideally familiar with SIEM, SOAR, EDR, or security monitoring technologies
• You bring a strong interest in cybersecurity, SOC operations, automation, and AI, as well as programming skills, preferably in Python
• You communicate confidently in English and can convey results clearly and in a structured manner to stakeholders
• You stand out through analytical thinking as well as an independent and self-responsible working style
• Very good English skills (written and spoken) round off your profile

Contact and further information

You can expect very good payment, excellent terms and outstanding opportunities for growth and development.

We are looking forward to receive your application! The best way to apply is online using the reference number. If you have any questions, please feel free to contact your recruiting contact at any time.

You must be properly enrolled for the duration of your employment. You can work up to 20 hours per week during the lecture period. Mobile working is possible - but your main place of work is Munich.

We place great importance on equal opportunities. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age as well as sexual orientation and identity.

Reference number: 1399

Recruiting contact: Emilia Kansik