Security Engineer, Security for Employee and Legal Systems (SEALS)
AI in this role
Security Engineer focused on threat modeling GenAI applications, securing agentic workflows, and using AI tools for automated security checks.
genaillms
ai-agentsapplication-securitythreat-modelingsecure-code-reviewprompt-injectiongenai-security
The applications we protect are increasingly built with GenAI, and many of them now embed GenAI features and agentic workflows of their own. That shifts the security work. You will threat model LLM-backed applications, assess risks such as prompt injection, insecure model output handling, and over-broad agent permissions, and secure transitive authentication as agents act on behalf of users. You will also use GenAI to scale your own delivery, from automated code review to detection authoring.
SEALS delivers ambient security. Builders get security feedback while they write code, at commit time, so risks are caught and fixed during development. As a Security Engineer on SEALS, you will be an embedded partner to your builder teams and own the security outcomes for your domain.
Strong candidates bring depth in application security: threat modeling, architecture and design reviews, secure code review, and hands-on remediation. You will contribute autonomously within the team, deliver risk reduction across the full lifecycle, and mentor peers, while seeking guidance from managers and technical leaders on the hardest tradeoffs.
Key job responsibilities
● Own the security outcomes for your assigned SEALS builder teams and the HR and Legal applications they run.
● Threat model GenAI and LLM-backed applications, covering risks such as prompt injection, insecure output handling, data leakage through model context, and excessive agent authority.
● Secure agentic workflows, including transitive authentication and scoped authorization as agents act on behalf of users.
● Author and refine automated detection rules that catch risks at code commit and give builders a fix they can accept immediately.
● Use GenAI to scale delivery across your domain, including AI-assisted code review, detection authoring, and triage.
● Drive paved-path adoption (Secure CDK Blueprints, automated patching, standardized authorization, transitive authentication for agentic workflows) so preventable issues do not occur.
● Hunt for risk the tooling missed through adversarial analysis and manual secure code review in Java, Python, and JavaScript, then turn each escape into a new detection.
● Provide security architecture guidance and lead the security outcomes of design reviews for your team and customers.
● Prioritize remediation by business impact, and escalate to leadership when a builder wants to accept a launch-blocking risk.
● Communicate security outcomes clearly, in writing and verbally, to security and service team leadership.
A day in the life
You are the security engineer your builder teams want in the room. On a given day you might threat model a new LLM feature for an HR application, write a detection rule that closes a gap a production finding revealed, pair with a builder to fix an authorization flaw while the code is fresh, or review the design of an agentic workflow before it ships. You articulate risk clearly to technical and non-technical audiences, prioritize pragmatically, and guide partners toward secure solutions. You mentor other engineers on the team and raise the bar around you.
About the team
SEALS sits within Corporate Services Security (CPSS), the Amazon security team aligned with Finance & Global Business Services, People eXperience & Technology, Legal, and Global Communications and Community Impact. We engage development teams early so our stakeholders can build and scale securely.
Basic qualifications
- 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience
- 2+ years of scripting, programming, and security code review in a common programming language (non-internship) experience
- 2+ years of troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship) experience
- Bachelor's degree in computer science or equivalent
- Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or experience in IT Security
- Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or 2+ years of IT Security experience
- Knowledge of networking protocols such as HTTP, DNS and TCP/IP
- 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 in troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship experience)
Preferred qualifications
- 2+ 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
- 2+ years of scripting, programming, or security code review in a common language, such as Python, Java or C++ experience
- Knowledge of command line tools to troubleshoot protocols, analyze log outputs, or automate basic tasks
- Knowledge of networking protocols such as HTTP(S), DNS, and TCP/IP
- Knowledge of networking protocols, to include HTTP(S), DNS, and TCP/IP
- Experience with AWS products and services
- Experience with programming languages such as Python, Java, C++
- Experience in scripting, programming, or security code reviewing in a common language, such as Python, Java, or C++
- 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
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, WA, Seattle - 159,300.00 - 202,400.00 USD annually
How we score this
Security Engineer, Security for Employee and Legal Systems (SEALS) at Amazon scores 70 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
Classification
AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
AI AgentsApplication SecurityThreat ModelingSecure Code ReviewPrompt InjectionGenai SecurityGenaiLlms
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where application security was part of your work. What did you do?
- Tell me about a project where threat modeling was part of your work. What did you do?
- Tell me about a project where secure code review was part of your work. What did you do?
- Tell me about a project where prompt injection was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Agents, Application Security, Threat Modeling, Secure Code Review, and Prompt Injection. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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