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# Software Developer - AI Security

- **Company:** CHECK POINT LLC
- **Location:** San Carlos, CA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Artificial Intelligence, Apple Mac Systems, Cloud Computing, Data Security, Cursor (Graphical User Interface Elements), Linux, Distributed Systems, Python (Programming Language), MongoDB, Redis, Reverse Engineering, Service Development Studio, System Software, TypeScript, Web Applications, ReactJS, Large Language Models, Backend, Fastapi, AI Platforms, Check Point Firewalls, Front End Software Development, Data Pipelines, Docker
- **Published:** July 19, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p5tvbztp3i

## About the Role

* 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

## Description

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., * 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


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