Security Engineer, Security for Employee and Legal Systems (SEALS)

The Security for Employee and Legal Systems (SEALS) team protects Amazons enterprise HR and Legal applications. Millions of Amazonians use these systems to review their pay manage their benefits update their personal information and handle confidential legal matters. Protecting that data is the core of what SEALS does and the customers who depend on us are the people who work here.
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.

- 3 years of programming in Python Ruby Go Swift 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
- Bachelors degree in computer science or equivalent
- Bachelors degree in a STEM field (Science Technology Engineering Mathematics) or experience in IT Security
- Bachelors 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)

- 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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 159300.00 - 202400.00 USD annually