As AI agents take on more autonomous actions on behalf of users, a critical question emerges: how do you ensure every one of those actions is authorized, auditable, and safe? That is the problem you will help solve on the Amazon Quick access-control team.
As a Software Development Engineer, you will design, build, and operate the authorization policies, enforcement plane, and audit systems that govern every interaction in Amazon Quick, whether initiated by a person or by an AI agent acting on their behalf. Your work will directly enable Amazon Quick to scale its agentic capabilities while meeting the access-control requirements that enterprise customers depend on. You will collaborate across more than a dozen partner teams, influence architectural decisions in systems you depend on, and coach other engineers on your team. This is an opportunity to shape how the industry approaches access control for agentic AI, at a time when the problem is still being defined.
Key job responsibilities
A day in the life
You might start the morning reviewing an access-policy change proposed by a partner team, verifying it meets audit requirements before it rolls out. After a design review with your team, you spend focused time prototyping a new enforcement mechanism that handles delegated agent permissions. In the afternoon you pair with a teammate to debug an edge case in the audit pipeline, then wrap up by writing a short design document that captures the trade-offs you explored. Your work spans both solo deep-thinking time and collaborative sessions with engineers across the Amazon Quick organization.
About the team
Our team owns the authorization and access-control layer for Amazon Quick, making sure the product is enterprise-ready for the world's largest organizations. We partner with teams across the full Amazon Quick organization, over 1,000 engineers, giving you broad visibility into how the product evolves. As agentic AI grows more capable, the access-control challenges we tackle are new and still being defined across the industry, so you will have real influence over the direction we take. If you are energized by security-critical problems at scale and want to work where AI meets enterprise trust, this is the team for you.
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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 - 168,100.00 - 227,400.00 USD annually
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