Head of Security Engineering & Malware Research at Alex Staff Agency

, , Germany -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Malware Research, Security Engineering, Cloud Detection, Threat Intelligence, Distributed Systems, Python, Rust, Airflow, Kafka, ClickHouse, Static Analysis, Dynamic Analysis, Machine Learning, LLMs, CI/CD, Incident Response

Industry

Staffing and Recruiting

Description

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 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. Work Mode: 100% Remote (Global). Timezone: Primarily CET ±

Responsibilities

This role involves owning the end-to-end malware analysis pipeline, from ingesting millions of daily samples to delivering real-time verdicts globally, while defining the roadmap for automated analysis and signature generation. The leader will also guide architectural decisions for massive-scale data processing and drive the integration of LLMs for code analysis and rule creation.