Security Engineer

Security Engineer at Cato Networks

Cato Networks is seeking a skilled Security Engineer to join our team. In this pivotal role, you will be instrumental in safeguarding Cato's production environments, encompassing network, data, and cutting-edge AI domains. You will collaborate closely with SRE, DevOps, platform, and internal security teams to architect, operate, and continuously refine security controls, effectively mitigating risks and bolstering our detection and response capabilities within a rapidly expanding, cloud-native ecosystem.

Responsibilities

• Support, maintain, and operate network, data, and AI security controls across Cato’s production environments, continuously improving protection, detection, and response.
• Design, implement, and troubleshoot network security mechanisms, including segmentation, access controls, and traffic inspection, to reduce attack surface and lateral movement.
• Secure sensitive data and databases by enforcing encryption, permissions, access governance, auditing, and monitoring to prevent data leakage and misuse.
• Identify security risks related to AI systems, data pipelines, and inference services, defining controls to protect models, training data, and AI-driven workflows.
• Collaborate with engineering, SOC, and platform teams to identify high-risk assets, abuse scenarios, and attack paths, translating them into actionable security controls and detections.
• Support incident response activities by serving as an escalation point for complex network, data, and AI-related security incidents.
• Contribute to improving security visibility, detection logic, and response processes, including documentation and knowledge sharing across the Cyber Defense Group.

Requirements

• Hands-on experience in security engineering or infrastructure security roles.
• Strong understanding of network protocols, architectures, and common network-based attack techniques.
• Experience securing databases and sensitive data, including encryption, access governance, and auditing.
• Practical knowledge of AI/ML systems and modern AI usage patterns, including risks related to training data, inference APIs, and model access.
• Understanding of emerging AI security threats, including prompt injection, data leakage, model abuse, and supply-chain risks.
• Experience working in cloud environments (AWS, Azure, or GCP) and cloud-native security controls.
• Experience participating in or leading security incident response and investigations.
• Proven ability to take ownership, lead security processes end-to-end, and drive initiatives across multiple teams.
• Strong analytical skills, proactive mindset, and ability to work effectively with cross-functional teams.

Advantage

• Experience with automation platforms and security-related workflows.
• Familiarity with modern security architectures such as Zero Trust.

Key skills/competency

• Security Engineering
• Cloud Security (AWS, Azure, GCP)
• Network Security
• Data Security
• AI Security
• Incident Response
• Access Control
• Risk Management
• Security Automation
• Zero Trust Architecture