Cato Networks is the converged network and security cloud for the AI era.
As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents.
Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide.
We are looking for an experienced Automation QA Engineer to join us.
You will be responsible for E2E testing new features of our fast-evolving product, by building a complex network environment and simulating enterprise customers' topologies and requirements. In addition, you will work with our Automation tests and lab management frameworks and will have the chance to make your first steps in the SW Automation development world. In your role - you will be the only gatekeeper for various new features and enhancements before they are deployed in our production cloud.
Responsibilities:
- Plan and execute manual/automated performance tests for core network infrastructure and edge devices.
- Design, develop, and maintain robust test automation frameworks to enable continuous integration and validation.
- Analyze and debug complex network failures, leveraging automation, logs, and advanced diagnostic tools.
- Lead validation efforts for new projects and features, defining test coverage and automation strategy from early design stages.
- Design and deploy complex physical and virtual network topologies to support automated end-to-end testing.
Requirements:
- CCNA certification and a strong understanding of networking fundamentals, including
- TCP/IP, UDP, VLANs, HTTP/HTTPS, DNS, and routing protocols.
- Hands-on experience with Linux networking and troubleshooting.
- 3+ years of experience developing test automation in Python using OOP principles.
- Proven ability to debug complex, multi-component systems.
- A team player with excellent collaboration skills
- Ability to multi-task and work in a fast-paced environment
Advantage:
- Hands-on experience working with physical network equipment in a lab environment.
- Experience with virtual environments like ESX, AWS, Azure or GCP
- BSc degree in Computer Science or a related field.
- CCNP or JNCIP certification.
- Familiarity with network test equipment or traffic generators.