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Salary
≈ $96k – $267k per year (Estimated)
Location
In office (Tel Aviv)
Seniority
Senior · 7+ years exp
Visa
Sponsors visas in United States, United Kingdom; no register of this country names it

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Aug 5, 2026. Cato Networks scores B on the Alion truth index.

Overview
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Impact
Profile match
Cato Networks is an Israeli cybersecurity company, founded in 2015, that provides a cloud-native secure access service edge (SASE) platform. Its global private backbone combines SD-WAN networking with security services such as firewall as a service, secure web gateway, zero trust network access, cloud access security broker and data loss prevention, sold to enterprises largely through channel partners. The company is headquartered in Tel Aviv, Israel.

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’re looking for a Senior Automation Engineer to join our Automation team. As a member of this team, you will be responsible for the design, implementation, and maintenance of automated tests and infrastructure using our Java-based framework. Our Automated tests cover various aspects of the security product, including complex networking topology, traffic, security rules, Users authentication scenarios.  

  

Responsibilities  

  • Design, develop, and maintain automated tests for complex, multi-layered systems using our Java-based framework   
  • Drive initiatives to enhance automation infrastructure and tools to support seamless development and testing workflows.  
  • Define, build, and maintain automation infrastructure, frameworks, and reusable libraries, to improve test execution reliability, reduce flakiness, shorten feedback loops, and increase confidence in automation results.  
  • Evaluate and integrate AI-driven solutions into the automation workflow, improving productivity, reliability, and insight generation   
  • Leverage AI-based tools and techniques to enhance test automation, including test generation, failure analysis, and optimization of test coverage and execution   
  • Enable QA automation engineers and developers with reusable components, templates, tools, dashboards, CI/CD integrations, and best practices.  
  • Translate automation data into actionable insights for automation engineers, developers, product teams.  
  • Identify gaps and develop tools and solutions to improve automation efficiency, stability, and scalability   
  • Collaborate with development, product, and cross-team automation groups to ensure high-quality delivery and unified standards   

Requirements  

  • 7+ years of experience in test automation for multi-layered complex systems   
  • Strong coding skills with OOP/OOD principles (Java, C#)  
  • Experience with load and performance testing (Jmeter, K6, Gatling)   
  • Experience with cloud platforms (AWS, Azure, GCP)   
  • Strong understanding of network protocols (L3-L7) 
  • Strong understanding of automation architecture, CI/CD integration, and scalable execution infrastructure using Docker, Kubernetes, and cloud environments.  
  • Experience designing, building and maintaining automation frameworks and test environments   
  • Practical experience using AI-based tools to improve software development or test automation workflows (e.g. test generation, code assistance, failure analysis, or test optimization)   
  • Familiarity with identity providers (LDAP, AD, Okta, Azure AD)  
  • Demonstre a strong ownership mindset and exceptional communication skills to mentor teams toward continues engineering excellence. 
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