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They operate as a fully remote, engineering-first organization with 200+ specialists focused on systems programming, deep-level security, and high-availability DevOps.
Role
A strategic and technical Head of Malware Research & Engineering to lead Cloud Detection & Analysis Department. You will oversee three specialized teams (20+ people) responsible for the heart of security ecosystem: the malware detection engine, cloud-based analysis infrastructure, and the end-to-end threat intelligence lifecycle.
This is a high-impact leadership role that combines deep architectural oversight of distributed systems with the management of elite security researchers and software engineers.
Mission
- 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
- Languages: Python (Primary), Rust, PHP, SQL
- Data & Orchestration: Apache Airflow, Kafka, ClickHouse, MongoDB, Redis
- Infrastructure: Bare metal & GCP, Docker, Ceph/S3-compatible storage
- Tools: Jenkins, GitLab CI, Grafana, Sentry
- Salary: Competitive compensation package based on seniority and expertise, discussed individually with successful candidates
- Work Mode: 100% Remote (Global)
- Timezone: Primarily CET ±
Key Skills
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