14 days ago
San Diego, CA, USASenior
Base Salary
$122k - $218k/yr
Responsibilities
- Monitor and defend cloud-based information systems against unauthorized access, modification, destruction, and anomalous activity.
- Lead security incident response across preparation, detection, analysis, containment, eradication, and recovery.
- Design, implement, test, and continuously improve cloud, SaaS, and AI/ML security architectures and controls.
- Identify and remediate network, application, cloud, and AI/ML platform vulnerabilities and access-control gaps.
- Manage cloud security solutions involving access management, data protection, security services, monitoring, and incident support.
- Lead security controls reporting, compliance audits, risk assessments, remediation tracking, and security metrics.
- Partner with developers, database administrators, data scientists, ML engineers, project teams, and business stakeholders on secure solutions.
- Develop and maintain cloud security standards, policies, procedures, and incident recovery approaches.
- Provide cloud and AI/ML security subject matter expertise, training, technical guidance, and mentoring.
- Monitor AI/ML platforms for unusual model access, data usage, inference activity, and other anomalous behavior.
Requirements
- Bachelor’s degree in Engineering, Cybersecurity, Networking, Computer Science, Data Science, or a related field.
- At least 8 years of experience in security engineering involving secure network, system, and application architectures, or an equivalent combination of education and experience.
- At least 3–5 years of experience with AWS Cloud Security services.
- AWS Certified Security certification is required.
- Experience with data analysis, risk assessment and mitigation, investigation methods, incident management, and security policy and procedure development.
- Experience with IDS/IPS, firewalls, SIEM, antivirus, network packet analyzers, content filtering, malware analysis, and forensics tools.
- Demonstrated experience as a lead engineer designing, implementing, and supporting enterprise IT environments.
- Knowledge of enterprise security platforms, disaster recovery, computer forensics, endpoint security, file integrity monitoring, and data loss prevention.
- Preferred certifications include GSEC, CISSP, AWS Developer or Solutions Architect Associate with a security emphasis, and AI/ML or data-related certifications.
- Exposure to AI/ML platforms, data pipelines, analytics environments, model deployment, AI/ML security concepts, data privacy, and AI governance is preferred.
- Ability to communicate technical security issues to technical and non-technical audiences and collaborate across teams.
Benefits
- Hybrid work arrangement indicated by the posting.
- Competitive medical, dental, and vision plans.
- 401(k) retirement plan with company match.
- Bonus potential for all positions.
- Paid time off and paid holidays.
- 100% support for continued learning.
- Office-based work environment using standard computer and office equipment; occasional lifting of up to 30 pounds may be required.
