Automation Infrastructure Engineer

Welcome to the future of cloud networking and security!  

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!

 

We are looking for an experienced Automation Infrastructure Engineer  to join our Automation engineering group. In your role, you will be working closely with development teams, Automation teams, DevOps, Product, and others. You will participate in the effort to improve the company’s ability to deliver value to customers in high velocity and excellent quality. 

 

Responsibilities: 

• You will be responsible to plan, design, implement, and maintain Automation tests and infrastructure. 

• Cope with complex code along with quality standards and best practices. 

• You will be expected to come up with initiatives regarding Automation infrastructure and tools. 

• You will work with other Automation teams, as part of cross-teams Automation efforts to achieve code reuse and unified standards in code, tools, and processes. 

• You will take part in planning and implementing non-functional testing aspects of product management modules. 

 

Requirements: 

• High technical skills and ability to utilize software testing methodologies, processes, and tools 

• 3+ years of experience implementing automated tests for multi-layered products  

• Hands-on coding in java or other OO programming language 

• Experience working with cloud IaaS such as AWS, and SaaS in general 

• Experience with GraphQL – advantage 

• Experience with Linux Operating system – advantage 

• Experience in stress, scale, and performance tests – advantage 

• Ability to work in a dynamic multi-task environment  

• Academic degree in Computer Science or equivalent 

• Excellent team collaboration and communication skills