Software Developer - AI Security

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