Product Enablement Data Engineer

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 a highly technical Product Enablement Data Engineer to design, generate, and manage realistic data feeds that power our cloud-native cybersecurity and networking platform.

In this role, you will focus on traffic generation, attack simulation, SaaS configuration automation, and telemetry validation—ensuring our platform reflects real-world customer environments and behaviors.

The Product Enablement team is responsible for unlocking the full potential of our platform through engaging, hands‑on learning experiences. You will play a critical role in helping customers understand the technical value of our solution by creating realistic scenarios that mirror real‑world use cases.

The data feeds you create will be used for various purposes, including demo accounts, sales‑led demos, proof‑of‑value (PoV), sales enablement labs, and other enablement functions.

To scope requirements and get feedback, you will collaborate within our team of content developers and lab engineers, as well as product management, engineering, sales engineers, and other enablement teams. To develop and deliver finished products that meet the requirements, you will collaborate closely with our lab engineers and content developers, as well as other data engineers throughout the organization.

Unlike traditional data engineering roles, this position focuses on generating synthetic yet highly realistic network traffic and security behaviors to drive product validation, analytics, and enablement outcomes.

Design Realistic Traffic & SaaS Simulations

• Build repeatable simulations of SaaS application traffic (e.g., collaboration tools such as Zoom)

• Simulate network conditions including latency, jitter, packet loss, and bandwidth shaping

• Develop traffic generation tools and orchestration workflows for scalable, repeatable scenarios

Intrusion & Threat Simulation

• Design and implement attack simulations aligned with frameworks such as MITRE ATT&CK

• Simulate real‑world threat behaviors, including:

  • Lateral movement

  • Command‑and‑control (C2) traffic

  • Data exfiltration

  • Brute force and credential abuse

• Build modular, reusable attack simulation libraries

• Validate detection accuracy against simulated attack patterns

SaaS Configuration & API Automation

• Configure SaaS environments to ingest and process simulated traffic

• Leverage APIs to:

  • Provision tenant environments

  • Configure policies and product features

  • Retrieve telemetry and system data

• Automate configuration and deployment workflows

Cloud‑Based Traffic Infrastructure

• Deploy and manage cloud environments (AWS and/or Azure) for traffic and attack simulation

• Configure VPN connectivity into SaaS‑managed environments

• Maintain scalable infrastructure for consistent testing and demos

Data Validation & Observability

• Build dashboards to monitor data integrity, telemetry completeness, and detection behavior

• Implement alerting for data gaps or system degradation

• Perform root‑cause analysis and troubleshoot telemetry or pipeline failures

Requirements

• 10+ years of experience in networking and/or cybersecurity

• 5+ years of experience in data, network, or security engineering

• Strong programming skills in Python

• Experience working with REST APIs and authentication workflows

• Hands‑on experience with Azure (AWS is a plus)

• Experience with Infrastructure‑as‑Code tools (e.g., Terraform)

• Experience generating network traffic using tools such as Scapy, tcpreplay, or iperf

• Strong…