Cybersecurity Software Engineer

We are seeking a Cybersecurity Software Engineer to join our R&D division and contribute to the development of advanced security technologies that safeguard critical business infrastructures from downtime, exploitation, and emerging cyber threats. You will work within a highly skilled engineering group dedicated to building next-generation defense systems and strengthening existing capabilities.

In this role, you will leverage AI-powered tools and technologies to accelerate software development, enhance engineering productivity, and support cybersecurity research and innovation. This position offers the opportunity to work in a rapidly evolving cybersecurity landscape and deliver innovative solutions to customers worldwide.

Responsibilities

• Work within a small, expert engineering team to design and develop Radware’s cross-platform security products, with an emphasis on virtualization technologies.
• Develop deep expertise in the application codebase and serve as a key contributor to technical discussions and architectural decisions.
• Create advanced methods for detecting and preventing cyberattacks by analyzing network traffic across Layers 2–7.
• Optimize application performance in virtualized, cloud, and high-end environments handling multi-gigabit traffic.
• Leverage AI-assisted development tools and AI agents throughout the software development lifecycle (SDLC), including requirements analysis, design, coding, code reviews, testing, and debugging.
• Apply AI technologies to cybersecurity research, threat analysis, and the exploration of innovative detection and mitigation techniques.
• Evaluate and integrate emerging AI tools and methodologies to improve development efficiency, software quality, and cybersecurity capabilities.
  
  

• BSc in Computer Science or a related discipline from a leading university (cum laude graduates considered).
• Minimum 2 years of hands-on C++ development experience.
• Python development experience.
• Familiarity with containerization, Kubernetes, microservices architecture, and cloud-native technologies.
• Strong object-oriented programming skills and familiarity with design patterns.
• Experience with multiprocessing and multithreading.
• Solid understanding of networking protocols and technologies.
  
  

• Experience using GitHub Copilot or similar AI-assisted development tools throughout the SDLC.
• Experience applying AI tools or AI agents to software engineering, debugging, testing, or code analysis.
• Interest in using AI to support cybersecurity research, threat analysis, and the development of advanced security mechanisms.
• Strong grasp of modern cybersecurity challenges.
• In-depth knowledge of Linux.
• Experience with open-source tools and applications.
• Background in networking, virtualization (XEN/KVM), or OpenStack.