Software Engineer – Networking Group

Cato Networks

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Engineering - Networking
הגישו מועמדות

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 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.

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