Python Software Engineer - AI Security Platform (m/f/n)

 Our work spans distributed backend services, machine learning pipelines, LLM-powered agents, and production security tooling.

As a Python Software Engineer on the AI Security Platform, you build the backend systems that power AI-driven threat detection, automated incident response, and LLM-based security tooling. You will join one of three teams based on your interests and our needs, each tackling a different part of the security stack. 

About the Role 

• Design, build, and maintain distributed backend services and processing pipelines in Python. 

• Develop asynchronous, event-driven systems and message-based integrations across services.

• Work with one of three focus areas, chosen based on your interests and team needs: 

Detection Systems: automated threat detection pipelines, detection engine integrations, and high-volume data processing. 

LiveAI: multi-agent AI systems, LLM-powered assistants, agent orchestration, and evaluation infrastructure. 

SOAR Platform: microservice ecosystem for incident handling, automation workflows, and AI-powered Security Operations Center capabilities. 

• Take ownership of services across their full lifecycle, from design and deployment to monitoring and troubleshooting.

• Write clean, maintainable, and production-ready code. 

• Collaborate with software engineers, security researchers, and security operators across the division. 

Essential Requirements 

• Strong software development experience with Python.

• Experience designing and developing backend services or distributed systems.

• Understanding of asynchronous programming and distributed task processing.

• Experience working with APIs and service integrations.

• Knowledge of relational databases and SQL.

• Experience writing maintainable, testable, and production-ready code. 

• Familiarity with modern software development workflows. 

Desirable Requirements 

• Experience with Docker and Kubernetes.

• Experience with Kafka, Celery, or similar messaging and task-queue technologies.

• Experience with cloud platforms (AWS, Azure).

• Knowledge of multi-agent systems, LLM-based tooling, or prompt engineering. 

• Previous experience in cybersecurity, threat detection, or high-volume data processing. 

Technologies 

Python, FastAPI, Celery, Kafka, MongoDB, Redis, gRPC, Envoy, Hadoop, Spark, Impala, Azure, Docker, Kubernetes, Helm, Kubeflow, Argo, Jenkins, Git, JIRA, Confluence 

Basic wage component (brutto): from 2900 EUR/m. (brutto)

• The final basic wage component can be increased accordingly to individual skills and experience of the selected candidate.
• Performance bonus 2 times per year up to 10% of the basic salary paid for the evaluation period(usually 6 months).

#LI-MF1 #senior #medior #LI-Hybrid