Software Engineer – Networking Group

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 a passionate and experienced Software Engineer to join our Networking Group. In this role, you will play a key part in developing our cloud-based, proprietary networking and security management solutions. You will also design and implement highly scalable processes for gathering and analyzing real-time network statistics, events, and large-scale data.

Responsibilities:

End-to-end backend development: from processing large-scale data to designing efficient microservices.

Develop and enhance high-performance, scalable services.

Improve the reliability, security, and scalability of existing infrastructure.

Work closely with cross-functional teams including Product, Data, Security, and UX.

Research and adopt new technologies to improve our products.

Requirements:

4+ years of hands-on experience in backend development.

Strong expertise in Java, and Spring Boot, (Go - advantage).

Experience with using and implementing RESTful APIs (GraphQL - advantage)

Basic understanding of networking concepts (e.g., TCP/IP, DNS, DHCP, VPN, network protocols).

Deep understanding of Object-Oriented Programming and software engineering principles.

Experience with databases: NoSQL (Elasticsearch, Redis, MongoDB) and relational (MySQL, PostgreSQL).

Familiarity with microservices architecture and technologies (Docker, K8S).

Experience with AWS technologies - advantage

Proven experience in big data applications – advantage.

Experience with FE technologies and JavaScript - advantage (React and TypeScript - big advantage)

Experience working with AI tools such as Claude, codex- advantage

Strong problem-solving skills, self-learning ability, and team collaboration mindset.

B.Sc. in Computer Science or equivalent.