Security Jobs in Russia
There are 902 open Security jobs in Russia on freehire right now. 260 of them were posted recently. The skills employers ask for most often are linux, python and siem.
Most requested skills
- linux 9%
- python 8%
- siem 7%
- kubernetes 6%
- ci-cd 5%
- ai 4%
- docker 4%
- owasp 4%
How the work is done
- Onsite 48 · 5%
- Remote 29 · 3%
- Hybrid 21 · 2%
Visa sponsorship offered in 10% of the 97 postings that state a position on it.
Seniority
- Lead 85
- C-level 41
- Senior 31
- Junior 7
- Middle 3
- Intern 1
Who is hiring
- 1000+ employees 118
- 501-1000 employees 44
- 51-200 employees 12
- 11-50 employees 4
Ведущий инженер по безопасности ИТ-инфраструктуры в Центр Робототехники
Leads IT security for robotics infrastructure, protecting embedded AI systems, cloud environments, and robotic devices using Linux, Kubernetes, and Zero-Trust principles.
Главный эксперт по сетевой безопасности (сопровождение NGFW)
Maintains and configures next-generation firewalls (CheckPoint, Cisco ASA/FirePower) for a major bank, troubleshoots network security issues, and ensures system uptime and compliance.
Ведущий аналитик SOC L2[Кибербезопасность]
Leads SOC L2 cybersecurity incident analysis, investigating non-standard threats, compiling reports, and improving detection playbooks using MITRE ATT&CK and log analysis across OS, SIEM, and network systems.
Senior Java Developer (Кибербезопасность)
Senior Java developer builds and maintains Spring Boot microservices for a cybersecurity product that protects documents and analyzes data leaks, using Java 17+, Kafka, PostgreSQL, and AI tools.
Security Рartner (BiSO)
Leads security initiatives for banking products, analyzing risks, designing protections, and guiding teams on security best practices in a Russian bank.
Начальник отдела информационной безопасности
Leads the information security team at a fintech company, setting strategy for cloud and microservices while ensuring compliance with Russian banking regulations and PCI DSS.
Архитектор систем ИИ (безопасность)
Designs and prototypes secure, high-load AI inference platforms (LLM/VLM) with focus on security, fault tolerance, and scalability, integrating security-by-design principles and collaborating with cross-functional teams.