Product Enablement Data Engineer
Cato NetworksAtlanta, Georgia, United StatesPosted 23 March 2026
Job Description
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
As a Product Enablement Data Engineer at Cato Networks, you will design, generate, and manage realistic data feeds that power our cloud-managed networking and security platform.
This role focuses on creating synthetic yet highly realistic traffic, attack simulations, and telemetry pipelines that replicate real-world customer environments. Your work will enable compelling demos, proof-of-value engagements, and hands-on lab experiences that showcase the full capabilities of the Cato platform.
You will collaborate closely with lab engineers, content developers, product management, engineering, and sales engineering teams to deliver scalable and reliable data-driven enablement solutions.
Responsibilities
Design and build realistic SaaS traffic simulations and network behavior scenarios
Develop repeatable traffic generation frameworks for demos, labs, and validation environments
Simulate network conditions such as latency, packet loss, jitter, and bandwidth constraints
Create and execute attack simulations aligned with frameworks such as MITRE ATTCK
Model intrusion techniques including lateral movement, command-and-control traffic, and data exfiltration
Build modular, programmatic attack simulation libraries
Integrate with SaaS platforms via APIs to provision tenants, configure policies, and retrieve telemetry
Deploy and manage cloud-based infrastructure (AWS/Azure) for traffic generation and simulations
Configure VPN connectivity and ensure secure communication between lab and SaaS environments
Build dashboards and monitoring systems to validate telemetry, detection accuracy, and data health
Implement alerting and perform root-cause analysis for data or pipeline failures
Requirements
10+ years of experience in networking or security engineering
5+ years of experience in data, network, or security engineering
Strong programming skills in Python
Experience working with REST APIs and authentication workflows
Experience building or supporting penetration testing or security simulation workflows
Hands-on experience with Azure (AWS is a plus)
Experience with Infrastructure-as-Code tools such as Terraform
Experience generating network traffic using tools like Scapy, tcpreplay, or iperf
Strong knowledge of Linux environments and networking tools (tcpdump, curl, netstat, etc.)
PowerShell scripting experience for Windows automation and system provisioning
Strong understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, TLS)
Experience configuring VPN clients and secure connectivity
Familiarity with MITRE ATTCK or similar security frameworks
Preferred Qualifications
Networking or security certifications (e.g., CCNA)
Experience building demo or enablement environments
Experience with GraphQL APIs
Familiarity with traffic shaping tools (tc, netem)
Experience with monitoring and observability platforms (Grafana, ELK, Prometheus)
Experience simulating adversary behaviors in controlled environments
Background in cybersecurity, SASE, or networking platforms
Why This Role Matters
This role ensures that Cato’s platform is demonstrated and validated using realistic, high-fidelity data that mirrors real customer environments.
Your work will directly influence how effecti ... (truncated, view full listing at source)
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