computer-forensics jobs in San Diego

Lead information security engineer responsible for designing and implementing comprehensive security architectures across ICW Group's IT and business technology infrastructure. Will conduct risk assessments, penetration tests, and security compliance reviews; partner with systems engineering and project management teams to ensure secure design throughout the development lifecycle; and lead remediation strategies for identified vulnerabilities.…See more Requires 10+ years of security engineering experience, AWS cloud security expertise (3–5 years preferred), and hands-on proficiency with IDS/IPS, firewalls, SIEM, forensics tools, and endpoint security solutions.

Information Security Engineer III will lead security architecture reviews and threat modeling for data, analytics, AI, and cloud initiatives at an insurance company. The role involves designing and implementing security controls for AWS data platforms and AI/ML workloads, providing oversight of LLM usage and emerging AI threats, and mentoring engineering teams on secure development practices.…See more You will partner with Engineering, Cloud, Data, and Operations teams to embed security into system design, manage compliance with NIST, NYDFS, PCI DSS, and CPRA/CCPA standards, and evaluate third-party vendors and security tools. The position requires 8+ years of security engineering experience, 3-5 years in AWS cloud security, and expertise in threat modeling, risk assessment, and incident management.

Cloud Security Engineer III responsible for designing, implementing, and maintaining security controls across the company's infrastructure with a focus on AI/ML platforms. The role involves monitoring AI/ML systems for anomalous behavior, identifying and remediating vulnerabilities in ML pipelines, and collaborating with data scientists to implement secure AI/ML solutions.…See more Requires 8+ years of security engineering experience, 3-5 years of AWS cloud security expertise, AWS Security Certification, and foundational knowledge of ML lifecycle and AI/ML security concepts.