Full Stack Developer

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’re looking for a passionate and creative Software Engineer with a strong data-driven mindset and around 4 years of experience to join our team. In this role, you will contribute to developing our cloud-based personalized networking and security management solutions, as well as building scalable systems for processing and analyzing data across multiple networks.

Responsibilities:

• End-to-end development, from processing large-scale data to building intuitive web interfaces
• Designing and implementing data pipelines, analytics, and insight-driven features
• Developing backend services with a focus on performance and scalability using C/C++ and Python
• Contributing to frontend development and overall system integration
• Implementing and testing network security enterprise solutions
• Conducting research and prototyping new features and product ideas
• Exploring new technologies and integrating them into the product
• Driving a data-driven approach to product and engineering decisions

Requirements:

• 4+ years of software development experience
• Strong programming skills in C, C++, and Python – Must
• Familiarity with Java (server-side development experience is a plus)
• Experience designing and developing scalable systems and services
• Strong data-driven mindset with experience analyzing large datasets
• Experience with data processing, pipelines, or data-intensive applications
• Familiarity with relational and NoSQL databases (e.g., MySQL, Redis, Elasticsearch)
• Familiarity with cloud platforms (preferably AWS) – Advantage
• Experience with data analysis tools/frameworks (e.g., Python, SQL, Spark) – Advantage