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.
They operate as a fully remote, engineering-first organization with 200+ specialists focused on systems programming, deep-level security, and high-availability Dev Ops.
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, Click House, 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 integral 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, Click House, 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, Click House, MongoDB, Redis.
Infrastructure: Bare metal & GCP, Docker, Ceph/S3-compatible storage.
Tools: Jenkins, Git Lab 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 ±
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