Job Description
We build Agentic Network Security Orchestration, a platform where autonomous AI agents reason over a live network, make decisions, and act. Our group sits at the center of Check Point's AI strategy. We turn some of the best cyber security data in the world into agents that keep enterprise networks understood, secured, and in control.
You'll own some of the platform's hardest problems:
- Network reasoning and connectivity analysis — model a customer's live network as a knowledge graph of topology, routing, gateways, and policy. Answer what humans struggle to: can this reach that, and exactly which path does it take? This is the engine behind autonomous troubleshooting.
- Structure at scale — find patterns in massive, messy networks. Group objects, traffic, and access patterns so agents can reason about intent, not one rule at a time.
Real networks. Real scale. Real impact on how enterprises secure their infrastructure.
What you'll do
- Design and build the services that model, reason over, and answer questions about live enterprise networks
- Turn network topology, routing, and firewall policy into a knowledge graph agents can navigate
- Build clustering and analysis that find structure across millions of connections
- Design scalable, reliable data pipelines and APIs that process network traffic at enterprise scale
- Partner with data scientists to take models and agents from research into production
- Own hard problems end to end — from a vague question to a system in customers' hands
Qualifications
What we're looking for
- 5+ years building production software, with the judgment to own systems end to end
- Strong networking fundamentals — TCP/IP, routing, NAT, firewall policy, network topology. You can reason about how a packet gets from A to B
- A sharp problem-solver who breaks down ambiguous problems and finds the simple core
- A fast learner, comfortable in unfamiliar domains and new territory
- Strong Python and modern software engineering practices
- Comfortable with Linux, Git, and Docker
- Hands-on with a cloud platform (AWS, Azure, or GCP) and Kubernetes
- Experience with relational and non-relational databases (PostgreSQL, MongoDB)
Nice to have
- Graph databases and graph algorithms (Neo4j, path and reachability analysis)
- A network security or cyber security background
- Large-scale data processing (Pandas, NumPy)
- Exposure to GenAI and agentic systems — LLMs, RAG, agent frameworks such as LangChain
- BSc in Computer Science or a related field
