Cato NetworksRemote
Product Enablement Data Engineer
United States of America
Full Time
2 hours ago
H1B Sponsor Likely
Key skills
NetworkingCybersecurityData EngineeringNetwork EngineeringSecurity EngineeringPythonREST APIsAuthentication WorkflowsAzureInfrastructure-as-CodeTerraformNetwork Traffic GenerationScapyTcpreplayIperfLinuxNetworking ToolsTcpdumpCurlIpNetstatPowerShell ScriptingWindows AutomationSystem ProvisioningNetworking FundamentalsTCP/IPDNSHTTP/STLSVPN ConfigurationSecure ConnectivityMITRE ATT&CK FrameworkPowerShellGraphQLAWSPrometheusGrafanaSaaSCollaboration
About this role
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 to power their cloud-native cybersecurity and networking platform, ensuring it reflects real-world customer environments and behaviors.
Responsibilities:
- 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 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
- 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