Software 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!

Cato Networks is seeking a talented and passionate Software Engineer to join our team. In this role, you will help drive the next phase of Cato’s growth by enabling new use cases, supporting expanding customer needs, and contributing to evolving growth models while maintaining the reliability and scalability of Cato’s cloud-native architecture.

You will design and build scalable services that collect and analyze data from multiple networks, expose data through web applications, APIs, and integrations with back-office systems. The role involves close collaboration with multiple teams across Cato to deliver high-impact solutions.

Responsibilities:

• Working closely with multiple stakeholders - product management, research, Information Systems group teams

• Designing and Implementing enterprise platform solutions

• Researching new technologies and adapting them for use within the company’s product

• Collaborating with multiple development teams

Requirements:

• 5+ years of backend development. We use Java, Go, Play framework, Spring boot, etc.

• Excellent knowledge of NoSQL DBs and relational DBs. We use PostgreSQL, MySQL, MongoDB, Redis, and more.

• Frontend experience with React and TypeScript

• Experience in building and operating SaaS microservices with high scale and load in production

• Hands-on experience developing with AI tools and frameworks, including building shared AI capabilities such as skills, sub-agents, agentic workflows, and reusable AI-powered components.

• Deep understanding of software engineering principles

• Experience testing services in continuous integration metrology

• BSc. degree in Computer Science from a known university

• Motivated, a fast learner, independent, and great at problem-solving