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!

About the Role

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 outcome.

What You’ll Do

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

Saa

S 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

What You Bring

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 Linux experience, including networking tools (tcpdump, curl, ip, netstat)

PowerShell scripting for Windows automation and system provisioning

Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, TLS)

Experience configuring VPNs and secure connectivity

Familiarity with MITRE ATT&CK or similar frameworks

Preferred Qualifications

Networking or security certifications (e.g., CCNA)

Experience building demo or lab environments

Experience supporting enablement or training platforms

Experience with GraphQL APIs:

Experience simulating adversary behavior in controlled environments

Familiarity with traffic shaping tools (tc, netem)

Experience with observability platforms (Grafana, ELK, Prometheus)

Background in cybersecurity, SASE, or networking products

Why This Role Matters

This role ensures our platform behaves as it would in real customer environments—through realistic traffic patterns, authentic attack simulations, and validated telemetry.

The environments you build will directly impact how we demonstrate, validate, and deliver our product to customers. Your work will help improve detection accuracy, strengthen product validation, and elevate the quality of our demos and enablement experiences.

Cato provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Health Savings/Flexible Spending Accounts, flexible time-off, paid parental leave and disability benefits.

As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.