As a Security Engineer II in Customer Logistics Security (CLS), you'll protect the infrastructure that powers Amazon's global fulfillment network - the systems behind every warehouse, fulfillment center, air hub, and last-mile delivery operation.

You'll perform vulnerability assessments with business context, determine blast radius of security issues across large-scale environments, and drive risk reduction across thousands of accounts and services. You will build AI-powered automation that scales security operations, apply machine learning to vulnerability triage and asset classification, conduct threat hunting, manage security exceptions, and work with engineering teams to ensure timely remediation of risks. Your work directly protects the operational technology and cloud infrastructure that millions of packages depend on every day.

You are expected to deliver autonomously within your team's scope and begin to have cross-team influence. You will 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. You will leverage AI and automation to transform how vulnerability management operates at scale, moving from reactive manual processes to intelligent, proactive security operations.

This role is ideal for a security engineer who combines technical depth with operational execution, has a passion for applying AI/ML to solve security challenges, and wants to drive outcomes across a complex, diverse infrastructure spanning cloud services, industrial control systems, and edge compute environments.

Key job responsibilities

AI-Driven Security Automation: 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.

Vulnerability Assessment & Triage: Perform vulnerability assessments with business context, evaluating blast radius and potential impact across accounts, services, and infrastructure. Contextualize scanner-reported severity against actual control environments to determine real-world exploitability and remediation priorities.

Detection Engineering: 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.

Automated Workflows & Tooling: Design, build, and maintain automated workflows and tooling (Python, AI/ML) to reduce manual toil, improve response times, and enable the team to operate at scale across thousands of accounts and services.

Threat Hunting: Conduct proactive threat hunting across vulnerability and asset data to identify security risks, attack patterns, and gaps in coverage before they are exploited.

Cross-Team Remediation: Drive remediation outcomes by collaborating with engineering teams across multiple organizations - providing technical guidance, root-cause analysis, and remediation recommendations. Influence partner teams without direct authority through technical credibility and clear communication.

Campaign Management: Own security remediation campaigns end-to-end including scoping affected owners, progress tracking, stakeholder communication, and risk tradeoff analysis across large distributed environments.

Exception & Risk Management: Manage security exception processes, evaluating risk justifications, coordinating approvals, and tracking compliance with exception conditions. Make judgment calls on severity reclassification where compensating controls demonstrably reduce risk.

Code Review: Perform security code reviews, root-cause analysis on high-severity findings, and architecture assessments. Validate remediation fixes in code and identify systemic vulnerability patterns that can be prevented upstream.

Operational Excellence: Maintain operational metrics, reporting dashboards, and executive-level risk summaries. Participate in periodic on-call responsibilities for continuous monitoring and time-sensitive vulnerability response.

Documentation & Knowledge Transfer: Maintain clear documentation of processes, review outcomes, security decisions, and runbooks. Mentor team members on technical approaches and operational procedures.

A day in the life

As a Security Engineer II in CLS, you will collaborate with builder teams across Amazon's logistics infrastructure to keep operations secure while enabling rapid innovation. In a given day, you might be:

Building an AI-powered pipeline that automatically triages incoming vulnerability findings, contextualizes their severity against the control environment, and generates personalized remediation guidance for affected teams

Assessing the blast radius of a newly disclosed Critical vulnerability across industrial control systems at hundreds of sites, determining which devices are actually exploitable versus protected by compensating controls

Training a classification model to predict asset ownership across millions of devices, replacing weeks of manual attribution with automated, accurate assignment

Working directly with an engineering team to validate that their proposed code fix correctly addresses the root cause of a security finding

Designing an automated notification workflow that reaches hundreds of system owners with actionable remediation instructions before a vulnerability campaign deadline

Handling a high-severity security escalation involving a nation-state advisory targeting operational technology, sizing the exposure, and coordinating remediation

Presenting vulnerability metrics and AI-driven risk insights to security leadership

BASIC QUALIFICATIONS

- Bachelor's degree in computer science or equivalent

- 5+ years of IT Security experience

- Knowledge of industry-based security vulnerabilities and remediation techniques

- Experience in scripting, programming, and security code reviewing in a common programming language (non-internship)

- Experience applying threat modeling or other risk identification techniques or equivalent

- Experience in troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship experience)

PREFERRED QUALIFICATIONS

- Experience performing security activities across one or more phases of the software development lifecycle (SDLC), such as security design review, threat modeling, secure code review, and security testing

- Knowledge of networking protocols such as HTTP(S), DNS, and TCP/IP

- 5+ years of scripting, programming, or security code review in a common language, such as Python, Java or C++ experience

- 4+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience

- Knowledge of command line tools to troubleshoot protocols, analyze log outputs, or automate basic tasks

- Experience with AWS products and services

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NJ, Jersey City - 159,300.00 - 212,800.00 USD annually

USA, TX, Austin - 159,300.00 - 202,400.00 USD annually