À propos de ce poste Research Engineer (Network) chez Cato Networks
Welcome to the future of cloud networking and security!
Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
We are looking for proactive, analytical, talented people to join the Cato Security Content team.
As a Research Engineer (Security Network & Apps), you will add content to Cato’s security and network products such as NGWF, CASB, DLP, and more.
Using agentic AI tools (Claude code, Cursor) and modern big data analysis frameworks (Redash, Athena), and network and web analysis tools to analyze network protocols and application traffic.
Joining Cato is an excellent opportunity for network security enthusiasts who are passionate about the future of Networking and Security.
Responsibilities:
- Research and analyze network and application behavior as part of Cato Networks security products (NGFW, CASB, DLP, and more).
- Lead cross-team projects to deliver product development outcomes in partnership with Engineering and Product.
- Focus on the customer’s impact and understand the business perspective.
- Suggest and conduct new research vectors.
- Work with AI tools and coding agents to automate your work and improve efficiency.
- Utilize Cato’s Data Warehouse with big-data technologies to support your work.
Requirements:
- 5+ years of hands-on experience in the cyber/security/network industry.
- Knowledge of networking architecture, OSI model, and protocols (TCP/IP, DNS, TLS, HTTP).
- Experience with SQL or data analysis tools (Kibana, Elastic,etc).
- Experience with at least one scripting language, such as Python.
- Experience (Hands-on) with Wireshark and PCAP analysis or similar tools.
- Used AI tools and coding agents for research, development, and validation- Big advantage.
- Experience with signature development for IPS, Firewall, iOT protection, etc - Big advantage
- Researcher mindset: define a thesis and validate it based on in-depth analysis and technical facts.
- Team player, responsible, critical thinker, and well-organized
