Senior Software Development Engineer, Amazon Quick

Amazon is hiring a Senior Software Development Engineer, Amazon Quick in New York, United States. It pays $185k-$250k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
Pay on this posting starts 11% higher than the typical software engineer posting on Level.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Generative AI is transforming how people work, but one problem is still unsolved: how do you give an AI assistant to 100,000 employees and keep the right guardrails in place? How do you enforce data sovereignty, audit every AI action, and comply with regulations like the EU AI Act, all without slowing down the teams building the product?

As a Senior Software Development Engineer on the Amazon Quick Governance team, you will set the technical direction for the policy infrastructure and enforcement systems that make enterprise AI safe at scale. You will own the architecture of distributed Java services that sit where authorization, compliance, and AI governance meet — systems where correctness is non-negotiable and every decision must be explainable. You will take ambiguous problems that span multiple teams, define the technical strategy, and lead engineers from design through delivery and operations. Our goal is to make the governed path the easiest path: a platform any Quick team can plug into and get policy enforcement, auditability, and observability out of the box.

Key job responsibilities
- Define and own the architecture for how governance policies are authored, versioned, assigned, and evaluated across complex organizational hierarchies, including group-based assignment, inheritance, and precedence — designed so new governance domains can be added without your team being on the critical path for every integration.
- Design control-plane workflows and contracts that turn administrator intent into policy artifacts for downstream enforcement services across regions, setting the bar for consistency, auditability, and safe rollout across environments.
- Lead the technical strategy for telemetry and analytics pipelines that show how AI is used across an organization, including usage dashboards, audit trails, compliance reporting, SIEM integration, and anomaly detection at enterprise scale.
- Drive alignment with authorization, identity, and guardrails teams on shared interfaces and end-to-end governance design, write and review design documents, and make clear trade-offs between opportunity, resources, and long-term sustainability.
- Mentor and grow engineers on the team, lead design and operational reviews, drive operational excellence, and actively contribute to hiring.

A day in the life
You might start the morning reviewing a design document for a new policy-inheritance model, then lead a cross-team architecture session with the identity and guardrails teams to align on shared contracts. After lunch you write Java code for a control-plane workflow that orchestrates safe policy rollouts across regions. Later you pair with a teammate to investigate an anomaly in the compliance-reporting pipeline, and close out the day by giving design feedback to a junior engineer working on the admin observability dashboard.

About the team
Amazon Quick is a generative AI-powered assistant that helps employees be more productive by answering questions, generating content, providing summaries, and completing tasks, all securely grounded in enterprise data. Quick serves some of the world's largest enterprises, with deployments spanning hundreds of thousands of users. The Quick Governance team builds the unified admin controls, policy platform, and observability layer that let these customers adopt AI safely, responsibly, and in line with regulations. If you want to define how enterprises govern AI at scale, this is the team for you.

Basic qualifications

- 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

Preferred qualifications

- 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, NY, New York - 184,900.00 - 250,200.00 USD annually

How we rate this

Senior Software Development Engineer, Amazon Quick at Amazon rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.