Amazon.com Services LLC
Posted Sep 9, 2026
Senior Software Development Engineer, Amazon Quick
Midtown · Onsite · Senior
Help moving to NYC
Visa sponsorship likely
Amazon.com Services LLC filed 819 NYC H-1Bs, Oct 2025–Jun 2026; this is a technical role. This is historical evidence, not a promise of sponsorship.
Relocation assistance not stated
Relocation assistance is not stated in this posting.
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Pay
PostedNot stated
H-1B record$170K Company-wide NYC H-1B median offered wage at Amazon.com Services LLC: $169,761 (819 filings, Oct 2025–Jun 2026). Not specific to this role.
About the role
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
- Design and implement authorization policies, enforcement mechanisms, and audit pipelines that ensure every human and agent interaction in Amazon Quick is governed by a correct, enforceable access decision.
- Lead the architecture of distributed access-control systems, balancing scalability, security, and maintainability while identifying and resolving risks before they reach production.
- Collaborate with partner teams across the Amazon Quick organization to align on integration points, define service contracts, and ensure access controls keep pace with new agentic capabilities.
- Evaluate and integrate generative AI tooling into development workflows where it accelerates delivery, and apply responsible practices when reviewing AI-generated outputs.
- Mentor and grow engineers on the team through code reviews, design guidance, and technical coaching, raising the quality bar for the team's software practices.
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.
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
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
- Design and implement authorization policies, enforcement mechanisms, and audit pipelines that ensure every human and agent interaction in Amazon Quick is governed by a correct, enforceable access decision.
- Lead the architecture of distributed access-control systems, balancing scalability, security, and maintainability while identifying and resolving risks before they reach production.
- Collaborate with partner teams across the Amazon Quick organization to align on integration points, define service contracts, and ensure access controls keep pace with new agentic capabilities.
- Evaluate and integrate generative AI tooling into development workflows where it accelerates delivery, and apply responsible practices when reviewing AI-generated outputs.
- Mentor and grow engineers on the team through code reviews, design guidance, and technical coaching, raising the quality bar for the team's software practices.
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.
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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 - 168,100.00 - 227,400.00 USD annually