Head of Malware Research & Engineering; remote-, Europe
04810, Madrid, Andalucia, España
Publicado en 2026-03-14
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TI/Tecnología
Seguridad cibernética, Ingeniero de sistemas, Ingeniero de datos -
Ingeniería
Seguridad cibernética, Ingeniero de sistemas, Ingeniero de datos
Cloud Linux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful.
Imunify
360 Security Suite is a product of Cloud Linux Inc., the maker of the #1 OS in security and stability for hosting providers. Imunify is an innovative security solution designed specifically for shared and VPS/Dedicated servers. The automated, easy-to-use solution with the six-layer approach to security delivers comprehensive and complete attack prevention.
We are seeking an experienced Engineering Leader to head the Cloud Antivirus Department at Imunify
360, overseeing three specialized teams that form the core of Imunify s malware detection, analysis, and cloud scanning infrastructure. This role combines deep technical expertise in malware analysis and distributed systems with strong people management and strategic product vision.
The department is responsible for protecting millions of websites on shared hostings through the Imunify
360/Imunify
AV product line, processing tens of millions of files through a cloud-based antivirus pipeline, and maintaining the malware signature lifecycle from creation to deployment.
AV) Team — Cloud-based malware analysis infrastructure: large-scale Airflow data processing cluster (24+ nodes), PHP emulator sandbox, automated signature generation, file classification pipelines, storage and hardware capacity planning.
Product & Strategy
- Introduce, own and constantly improve key metrics for antivirus products
- Define and prioritize the product roadmap across all three teams
- Drive product initiatives to achieve challenging key metrics
- Collaborate with Product Management on VIP customer requirements and competitive analysis
- Introduce more AI tools & instruments within malware detection lifecycle
Technical Leadership & Architecture
- Own the end-to-end malware detection pipeline: from file ingestion through cloud analysis to on-server verdict delivery and cleanup
- Drive architectural decisions for distributed data processing (Airflow DAGs, async Python, Click House, Mongo
DB, Redis, Kafka) - Oversee migration and modernization initiatives (e.g., AI malware analysis, AI rules creation)
- Design and implement performance optimizations for cloud processing throughput (10M+ brand new samples added daily)
- Manage infrastructure capacity planning: compute nodes, Ceph storage clusters, database scaling
People Management
- Lead 3 teams across multiple time zones
- Hire, mentor, and grow engineers and team leaders for 3 teams
- Coordinate cross-team dependencies with Server Team, Web Protection Team, QA, Infrastructure, and Support
Operational Excellence
- Ensure signature release quality through automated testing pipelines
- Monitor and improve detection rates, false positive rates, and cleanup success metrics
- Respond to production incidents (certificate expiries, infrastructure failures, processing bottlenecks)
- Manage vendor and partner technical integrations
- Past experience leading security products / labs with / researches
- 8+ years of software engineering experience, with 3+ years in a management role leading multiple teams
- Deep expertise in malware analysis and antivirus technologies: static/dynamic analysis, signature-based detection, heuristic engines, file classification
- Strong background in distributed systems and data engineering: experience with workflow orchestration (Airflow, Luigi, or similar), message queues (Kafka, Rabbit
MQ), and large-scale data processing - Experience with infrastructure at scale: managing compute clusters, storage systems (Ceph, S3), databases (Click House, Mongo
DB, Postgre
SQL, Redis) - Strong understanding of CI/CD pipelines:
Jenkins, Git Lab CI, containerized deployments (Docker) - Experience with monitoring and…
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