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We are looking for a passionate Software Developer to join one of our most exciting and innovative products in the world of Security Automation and AI Infinity Playblocks.

This is an amazing opportunity to be part of a cutting-edge cloud platform that helps customers automate, orchestrate, and secure their environments - and to help shape it from its early stages.

Youll join a leading team developing both the backend and frontend of a state-of-the-art SaaS application, working in an agile, fast-paced environment and collaborating closely with product, design, and data teams.

If youre passionate about technology, eager to innovate in the AI and automation space, and love turning ideas into impact - wed love to have you on board!

Key Responsibilities
End-to-end backend and frontend development of a new cloud product in the field of Security Automation and AI.
Lead all stages of the development cycle from requirements to production while developing multi-tenant, high-scale, efficient, and secure code.
Be part of a growing, leading team working with state-of-the-art cloud and web technologies, including microservices architecture.
Collaborate closely with cross-functional teams and customers to solve complex problems and innovate new features.
Propose solutions for complex technical challenges.

We are building the Windows agent that powers GenAI Protect, Check Points flagship initiative to secure AI workflows across endpoints, browsers, and SaaS. In this role you will help define how AI and security intersect at the OS level and solve problems no one has solved before. If you want to work on technology that sits on the critical path of how people and machines use GenAI every day, this is where you want to be.



Key Responsibilities
Own the Windows protection layer: design and implement the core proxy, hooks, and anti-tampering mechanisms for GenAI agents.
Collaborate with Mac, Cloud, and Security Engine teams to build unified multi-platform behavior analysis.
Design IDE and developer environment integrations to monitor and protect AI-driven code flows.
Deliver production-ready, high-performance agent components with deep OS-level visibility.
Influence architecture decisions, threat models, and agent-core evolution.