Senior Software Engineer – Cato Apps Team (AI)

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, Exabeem, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $25 billion by 2027.

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 talented and experienced Senior Software Engineer to join the Cato Apps Team (AI) - the team is building the intelligence layer that powers how customers interact with Cato’s SASE platform.

In this role, you’ll help shape and build the foundation of Cato’s AI-powered management and support experience, transforming how IT and security teams operate and make decisions.

You’ll design, build, and scale AI - driven backend services and data pipelines that integrate natural language, network analytics, and security insights into a unified user experience. Your work will directly impact thousands of global customers by making Cato’s platform smarter, faster, and easier to use.

Responsibilities

• Design and develop end-to-end features for the Cato AI Assistant — from backend logic to service integration.
• Build and optimize real-time, scalable microservices that process and enrich large volumes of data across networking and security domains.
• Collaborate closely with AI/ML engineers, product managers, and UX designers to define and deliver intelligent, conversational capabilities.
• Contribute to the architecture and infrastructure of Cato’s AI systems, ensuring performance, reliability, and security.
• Drive innovation and bring new ideas for AI-based automation and insight generation across the platform.
  
  

• 7+ years of software development experience, preferably in cloud-native environments.
• Strong programming skills in Java with a deep understanding of distributed systems and APIs.
• Experience with microservice architectures, message queues, and real-time data processing.
• Passion for building data-driven or AI-enhanced applications — experience with LLMs, vector databases, or prompt engineering is a plus.
• Excellent collaboration and communication skills; a product-oriented mindset with attention to user impact.