An established global cybersecurity product company with a long-standing track record of building high-load Linux-based security solutions. Their technology secures hundreds of thousands of servers worldwide and protects tens of millions of web environments for some of the world's largest infrastructure providers and enterprises.
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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.
Preferred Qualifications
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.
Core Stack
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. xqysrnh
Work Mode: 100% Remote (Global).
Timezone: Primarily CET ±