Student Automation

Radware is a global leader of cyber security and application delivery solutions for physical, cloud, and software defined data centers.

At Radware, we live and breathe cybersecurity. It is our passion. Each day, our international team works to earn the trust of more than 12,500 organizations around the globe. Keeping them safe is our mission. To that end, we go head-to-head with politically motivated hacktivists, dangerous nation-state threat actors and other notorious cyber attackers -these are not your average adversaries. Backed by nearly 30 years of experience, Radware is best known for its technical excellence and innovative network and application security solutions. That is why it is so important that we build our team with bold and bright talent.

What is the job:

For Radware’s Cyber Security solutions and attack mitigation business, we invite you to join the DP QA department responsible for high‑end enterprise security solutions. Radware’s cutting‑edge security platforms simplify operations while ensuring resilience, efficiency, and SLA adherence.

In this role, you will take an active part in mastering Radware’s Next‑Generation Cyber Security products, with a strong emphasis on automation, quality engineering, and the adoption of AI‑driven testing methodologies.

You will work in an Agile Scrum environment within a dynamic, fast‑growing, and highly innovative team.

What will you do?

• Planning, design, development, reporting, and analysis of manual and automation tests.
• End‑to‑end testing of various DP features and components.
• Building and maintaining automation frameworks for complex networking and security environments.
• Utilizing AI‑powered tools to improve test coverage, defect detection, and root‑cause analysis.
• Developing test insights using AI/ML models for anomaly detection and optimization of regression cycles.
• Collaborating with development, QA, and data teams to integrate AI‑assisted automation into CI/CD pipelines.
• Participating in Agile processes, contributing to test strategy and continuous quality improvement.
  
  

• At least one year into a BSc/BA in Computer Science, Electronic Engineering, or equivalent.
• Knowledge of Python development (automation/scripting).\
• Basic understanding of networking protocols: TCP/IP, Routing, Switching.
• Analytical mindset and willingness to learn AI‑driven QA practices.
  
  

• Knowledge of Java development.
• Experience with cybersecurity systems and concepts.
• Experience with cloud environments: VMware, KVM, OpenStack, Azure, AWS.
• Hands‑on experience with network devices and tools: switches, routers, packet sniffers.
• Experience with test automation frameworks (PyTest, Robot, Selenium, etc.).
• Familiarity with AI concepts such as machine learning fundamentals, LLMs, or AI‑assisted coding tools (e.g., Copilot).