Cato Networks

Network Researcher

Posted One Month Ago

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Tel Aviv

In-Office

Mid level

Information Technology • Security • Cybersecurity

The Role

As a Network Researcher, you'll analyze network behavior, develop tools for analysis, conduct experiments, and collaborate with engineering to improve product performance.

Summary Generated by Built In

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, Exabeem, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $25 billion by 2027.
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’re looking for an experienced Network Researcher to join our team. You’ll investigate how modern networks behave at scale—diving deep into protocols, traffic patterns, and path performance—to design data-driven improvements that enhance reliability, efficiency, and user experience across Cato’s global network. You’ll develop analysis tooling, run large-scale measurements on top of our big-data platform, and share findings internally and externally.

Responsibilities:

Build tools & pipelines: Develop analysis tools, datasets, and reproducible pipelines to support research at scale.
Deep protocol analysis: Perform in-depth studies of protocol behavior (TCP congestion control, QUIC/HTTP/3, HTTP/2, DNS, DHCP) including edge cases, timeouts, retransmissions, handshake dynamics, and head-of-line effects.
Network measurement & modeling: Analyze latency, jitter, loss, throughput, and path selection. Build models and KPIs that explain and predict performance.
Experimentation: Design controlled experiments and A/B tests; reproduce findings in lab environments (emulation/simulation) and validate on real traffic.
Collaboration with engineering: Translate research into product improvements and platform capabilities; deliver clear specs and reference implementations.
Communication & thought leadership: Publish results (internal reports, blog posts, talks), create visualizations, and—when relevant—contribute to community.

Requirements:

Education: BSc + MSc in Computer Science
Networking expertise (must): Strong foundations in computer networking and Internet protocols: TCP/IP, QUIC/HTTP/3, HTTP/2, DNS, RDP, DHCP, routing (BGP/OSPF/IS-IS), MPLS, NAT, load balancing.
Data & coding (must): Proficiency in at least one programming language (e.g., Python, Go, or Java) and solid SQL skills; comfort working with large datasets and time-series analysis.
Big-data & analytics: Experience with big-data platforms and frameworks (e.g., Spark) and databases (NoSQL/relational such as Elasticsearch, MongoDB, MySQL, AWS Athena).
AI/ML for network analytics: Practical experience applying machine learning to packet/flow/time-series data—feature engineering, clustering/segmentation, anomaly detection, forecasting, and causal analysis—to model performance and inform routing/QoS optimizations; proficiency with Python data stack (pandas, NumPy, scikit-learn); familiarity with PyTorch or TensorFlow is a plus.
Tools: Hands-on experience with Wireshark, tcpdump/tshark, Scapy, iperf; ability to craft custom parsers and automate experiments.
Excellent English and communication skills
Team player, responsible, and well-organized