Own the end-to-end pipeline
from ingestion of 10M+ unique daily samples to real-time verdict delivery on global server fleets.
Define the roadmap for malware analysis, automated signature generation, and ML-driven classification.
Guide decisions on massive-scale data processing using Airflow, Kafka, ClickHouse, and modern Python/Rust stacks.
Drive the integration of LLMs and transformers for automated code analysis and malware rule creation.
Mentor and scale a multi-disciplinary department across three global teams, fostering a culture of operational excellence and rapid incident response.

Proven experience leading security labs or product departments, successfully managing the bridge between pure research and production-ready security features.
8+ years in software engineering with 3+ years in a "manager of managers" or multi-team leadership role.
Deep credibility in static/dynamic analysis, heuristic engines, and the lifecycle of false-positive/negative remediation.
Professional experience with distributed data engineering (Airflow, message queues like Kafka/RabbitMQ) and high-volume storage/DB architectures (Ceph, ClickHouse, MongoDB).
Experience managing CI/CD for security products where release quality is critical to maintaining global infrastructure uptime.
Comfortable working in a 100% remote, geographically distributed environment.
Expertise in web infrastructure security (securing large-scale web server environments and multi-tenant platforms).
Experience applying Machine Learning (Transformers, LLMs) to code analysis and threat detection.
Deep knowledge of PHP internals or dynamic analysis via sandboxing/emulation.
Practical experience with GCP (Secret Manager, Cloud Storage) in a security context.

Salary: Competitive compensation package based on seniority and expertise, discussed individually with successful candidates.
Work Mode: 100% Remote (Global).
Timezone: Primarily CET ±

Head of Security Engineering – Malware Research

Key skills