Junior Software Engineer – Cato Apps Team (AI)

Posted Yesterday
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Tel Aviv, ISR
In-Office
Junior
Information Technology • Security • Cybersecurity
The Role
Build Cato’s AI-native agentic infrastructure and intelligent agent ecosystem. Develop scalable full-stack features across Java backend services, React frontend applications, databases, integrations, deployment, and monitoring. Collaborate with AI/ML engineers, product managers, and UX designers to deliver conversational and non-conversational AI capabilities, automation workflows, and insight-generation features for Cato’s SASE platform.
Summary Generated by Built In

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 talented and junior Software Engineer to join the Cato Apps Team (AI) - the team building Cato's agentic harness and intelligent agent ecosystem, powering how customers interact with Cato's SASE platform, supporting and enabling all of Cato agentic solutions.

This team is at the forefront of Cato's AI innovation, building AI-native systems and agentic harness that transform how IT and security teams operate, troubleshoot, and make decisions.

In this role, you'll help shape and build the foundation of Cato's AI-powered management and support experience, directly impacting thousands of global customers by making Cato's platform smarter, faster, and easier to use by leveraging the power of AI.

Responsibilities:

  • Design and develop Cato's Agentic Infrastructure, leveraging state-of-the-art technologies to build highly scalable, AI-native end-to-end services — from backend logic and service integration all the way to AI-first products such as Cato's AI Assistant.
  • Design build and deliver features covering all application layers, FE, BE, pesistance including responsibility on the deployment, and production monitoring of delivered features.
  • Collaborate closely with AI/ML engineers, product managers, and UX designers to define and deliver intelligent, conversational and none conversational AI powered capabilities.
  • Drive innovation and bring new ideas for AI-based automation, autonomous workflows, and insight generation across the platform.

Requirements:

  • 2–3 years of software-development experience, with strong Java fundamentals and experience building backend services and APIs.
  • Experience contributing to full-stack web applications, including Java backend services, React frontend development, and DB.
  • Familiarity with cloud-native development practices, including microservices, CI/CD, containerized deployments, and production monitoring.
  • Hands-on experience with AI-powered applications or LLM APIs, combined with a curious, collaborative mindset and eagerness to learn.

Why join Cato:

Cato Networks is the world's first SASE platform, connecting and securing enterprises with cloud-native simplicity.

Joining Cato means working with passionate engineers who are reinventing enterprise networking and security - with AI at the core of the experience.

Skills Required

  • 2–3 years of software development experience
  • Strong Java fundamentals
  • Experience building backend services and APIs
  • Experience contributing to full-stack web applications
  • Experience with Java backend services, React frontend development, and databases
  • Familiarity with microservices, CI/CD, containerized deployments, and production monitoring
  • Hands-on experience with AI-powered applications or LLM APIs
  • Curious, collaborative mindset and eagerness to learn
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The Company
HQ: Tel Aviv-Yafo
931 Employees
Year Founded: 2015

What We Do

WE ARE SASE

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