Software Developer - AI Security

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Company Description
We are on a mission to secure the AI transformation that every company is going through, building a platform that protects organizations as they adopt AI tools at scale. This is your chance to join one of the fastest-growing areas in Check Point and develop technology that will define how cybersecurity operates in the AI era. You will be part of a multidisciplinary team of backend engineers, endpoint developers, AI researchers, and product experts from Israel and global acquisitions, all working together to deliver cutting-edge, end-to-end security solutions to the world’s largest enterprises.
As a Software Developer on our team, you will work across both backend services and endpoint components, designing scalable systems that connect endpoint-level data collection with cloud-based analysis and enforcement. You’ll play a key role in building the agents and services that monitor and control interactions with AI tools, shaping a new category of security products that operate seamlessly across platforms and environments.

Job Description

• Develop and maintain backend services alongside endpoint components for a cross-platform security platform

• Design scalable systems that integrate endpoint-collected data with cloud-based processing and enforcement

• Build and enhance endpoint agents responsible for monitoring and controlling interactions with AI tools (e.g., coding assistants, web-based AI services)

• Implement data pipelines, policy enforcement logic, and secure data handling mechanisms across endpoint and backend layers

• Collaborate with AI and product teams to deliver end-to-end solutions

• Troubleshoot and resolve complex issues across distributed system and endpoint components

Qualifications

• At least 3 years of strong production experience with Python

• Backend service development (FastAPI / MongoDB / Redis)

• Cross-platform software development (macOS / Windows / Linux / WSL)

• Solid grasp of OS, networking and low-level concepts

• Interest in the AI ecosystem - LLMs, AI agents, MCP, and the dev-tools built on top (Copilot, Cursor, Claude Code)

Advantage

• Rust experience (a growing part of our stack - desktop agent, MCP proxy)

• Frontend (React / TypeScript / Mantine)

• Security, endpoint or networking background

• Docker & Kubernetes

Nice to have

• Reverse-engineering / digging into other apps' internals

• Policy engines or data-inspection systems

• Browser extensions or IDE plugins