Product Enablement Data Engineer

Cato Networks is a pioneering company in cloud networking and security, seeking a highly technical Product Enablement Data Engineer. This role focuses on designing and managing realistic data feeds for their cloud-managed cybersecurity and networking platform, ensuring that the product demonstrates real-world behavior through various simulations and data generation processes.

Responsibilities:

• Create repeatable simulations of SaaS application traffic (e.g., collaboration tools like Zoom)
• Simulate network conditions including latency, jitter, packet loss, and bandwidth shaping
• Build traffic generators and orchestration workflows for repeatable demo and validation scenarios
• Design and implement data feeds aligned with frameworks such as MITRE ATT&CK
• Simulate intrusion techniques including:
• Lateral movement
• Command-and-control traffic
• Data exfiltration
• Brute force and credential abuse
• Build modular attack simulation libraries that can be triggered programmatically
• Validate product detection accuracy against simulated behaviors
• Configure our SaaS application to receive and process simulated traffic
• Use product APIs to:
• Provision SaaS tenant accounts
• Configure policies and features
• Retrieve telemetry and system status
• Automate SaaS configuration workflows
• Design, build, and maintain lightweight lab environments required to generate and deliver data
• Deploy and manage cloud-based infrastructure (primarily in Azure, AWS acceptable)
• Provision and configure virtual machines used for traffic generation and simulation
• Configure VPN clients and ensure connectivity into SaaS-managed environments
• Ensure lab environments are stable, repeatable, and easy to reset or rebuild
• Troubleshoot connectivity, system, and environment issues impacting data generation
• Maintain scalable infrastructure to support traffic generation and simulation workloads
• Support environment lifecycle management (setup, reset, teardown)
• Work with simple automation approaches to improve repeatability and reliability (scripts, templates, etc.)
• Build dashboards to monitor:
• Data feed health
• Telemetry completeness
• Detection triggers
• Endpoint and lab environment status
• Implement alerting for missing data or degraded environments
• Perform root-cause analysis when telemetry pipelines or lab environments fail

Requirements:

• 10+ years of experience in the networking or cybersecurity industry
• 5+ years of experience in data engineering, network engineering, or security engineering
• Strong programming skills in Python (required)
• Experience working with REST APIs and authentication workflows
• Experience building or working with security testing, attack simulation, or traffic generation workflows
• Hands-on experience with cloud platforms (Azure preferred)
• Experience generating network traffic using tools like Scapy, tcpreplay, iperf, or similar
• Strong working knowledge of Linux command-line environments, including networking tools (tcpdump, curl, ip, netstat)
• PowerShell scripting experience for automation of Windows systems and SaaS/API interactions
• Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, TLS)
• Experience configuring VPN clients and secure connectivity
• Familiarity with MITRE ATT&CK or other security frameworks
• Ability to independently own both data generation and the environments required to support it
• Experience with Terraform or other Infrastructure-as-Code tools
• Experience building or maintaining demo or enablement lab environments
• Experience simulating adversary behaviors in controlled environments
• Familiarity with traffic shaping tools (tc, netem)
• Experience with monitoring/observability platforms (Grafana, ELK, Prometheus)
• Networking or security certifications (e.g., CCNA, Security+)
• Experience working in SASE, networking, or cybersecurity product companies
• Experience with GraphQL APIs