Security Engineer II, Customer Logistics Security

Amazon; Jersey City (NJ); On-site; USD 159,000 - 213,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Sign-on payments

Restricted Stock Units (RSUs)

Job summary

Amazon Security is seeking a senior security professional to lead AI-driven vulnerability management across our global logistics infrastructure. You will design scalable detection, triage, and remediation workflows, and partner with engineering teams to reduce risk at scale.

This role emphasizes proactive threat hunting, security code reviews, and operational excellence in a high-availability environment. You will work within Amazon Security to protect customer trust across cloud, devices, and

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
• Experience applying threat modeling or other risk identification techniques
• Experience troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools
• Experience across SDLC security activities including design review, threat modeling, secure code review, and security testing
• Knowledge of HTTP(S), DNS, and TCP/IP networking
• 5+ years of scripting, programming, or security code review in languages such as Python, Java or C++
• 4+ years of threat modeling, secure coding, identity management, software development, cryptography, system administration or network security
• Knowledge of command line tools to troubleshoot protocols or automate tasks
• Experience with AWS products and services

Responsibilities

• Design, build, and deploy AI/ML-powered vulnerability management solutions
• Perform vulnerability assessments with business context and prioritize remediation
• Engineer scalable vulnerability detection mechanisms and automation pipelines
• Develop automated workflows and tooling to reduce manual toil
• Conduct proactive threat hunting across vulnerability and asset data
• Collaborate with engineering teams to drive remediation outcomes
• Own end-to-end security remediation campaigns
• Manage security exception processes and risk assessments
• Perform security code reviews and architectural assessments
• Maintain operational metrics and executive risk summaries
• Mentor team members and document processes

Skills

IT Security

Threat modeling

Scripting

Security code review

AI/ML security

Education

Bachelor's degree in computer science

Tools

Python

AWS

Java

C++

Job description

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

• 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

About the team

Customer Logistics Security is responsible for protecting Amazon's global logistics and fulfillment infrastructure - the technology that powers every fulfillment center, sort center, air hub, and delivery station worldwide. Our team ensures security risks are identified, tracked, and remediated within defined timelines, working at the intersection of cloud security, operational technology, and vulnerability management. We partner closely with detection teams, campaign owners, and engineering organizations across the company.

Our team is investing heavily in AI/ML to transform security operations: predictive asset classification, intelligent vulnerability triage, automated severity contextualization, and natural language remediation guidance. We are building the next generation of vulnerability management that operates proactively and intelligently at scale, rather than reactively processing findings one at a time.

Diverse Experiences

Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why Amazon Security?

At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Inclusive Team Culture

In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

Training & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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