Security Engineer II, Customer Logistics Security

Achievements

Own end-to-end security outcomes for your area of responsibility, identify patterns across services, and build scalable mechanisms that reduce risk broadly - not just for individual findings.

Key Competencies

• Leverage AI and automation to transform how vulnerability management operates at scale, moving from reactive manual processes to intelligent, proactive security operations.
• Design, build, and deploy AI/ML-powered solutions to scale vulnerability management operations - including intelligent triage, automated severity contextualization, predictive asset classification, and natural language-driven remediation guidance generation.
• Perform vulnerability assessments with business context, evaluating blast radius and potential impact across accounts, services, and infrastructure.
• Engineer high-quality, scalable vulnerability detection mechanisms - including automated asset-to-vulnerability correlation, compliance monitoring pipelines (e.g., trade sanctions, regulatory requirements), and continuous scanning coverage across diverse environments.
• Conduct proactive threat hunting across vulnerability and asset data to identify security risks, attack patterns, and gaps in coverage before they are exploited.
• Drive remediation outcomes by collaborating with engineering teams across multiple organizations - providing technical guidance, root-cause analysis, and remediation recommendations.
• Manage security exception processes, evaluating risk justifications, coordinating approvals, and tracking compliance with exception conditions.
• Validate remediation fixes in code and identify systemic vulnerability patterns that can be prevented upstream.

Technical Skills

• Experience in scripting, programming, and security code reviewing in a common programming language (e.g., Python, Java, C++)
• Knowledge of industry-based security vulnerabilities and remediation techniques
• Experience applying threat modeling or other risk identification techniques
• Experience in troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools
• Experience with AWS products and services