Sr. Software Development Engineer, AWS Quick

Amazon is hiring a Sr. Software Development Engineer, AWS Quick in Bellevue, United States. It pays $168k-$227k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The listed pay starts close to the typical software engineer posting on Level.
Tools and skills the posting cites include AWS, Generative AI and AI agents.
Level classifies it as a senior role.
Level lists 21,000+ other open roles at Amazon.

AI in this role

Design and deliver third-party integrations and connectors enabling AI agents to take action on behalf of users in an AI-native work surface.

awsgenerative-ai

ai-agentssoftware-developmentsystem-architectureapi-integrationmentoring

Amazon Quick is building an AI-native work surface that understands what users want to accomplish and figures out how to get it done. We are looking for a Software Development Engineer III to design and deliver the third-party integrations that connect Quick to the business systems users rely on every day, enabling AI agents to take real action on their behalf. You will lead technical strategy for these connectors, working across teams to solve problems where requirements are clear but the right architecture is not. If you enjoy building systems that must work reliably at enterprise scale and want your code to directly drive product adoption, this is a role where your engineering decisions will have visible impact.

Key job responsibilities
- Design and deliver third-party integrations and real-time connectors that enable AI agents within Quick to take action on behalf of users across the business systems they depend on.
- Own the architectural direction for your team's integration platform, evaluating tradeoffs in scalability, performance, security, and maintainability while influencing technical decisions in systems you depend on but do not control.
- Write high-quality code that sets the standard for your team in organization, clarity, error handling, and documentation, and drive adoption of consistent engineering practices.
- Mentor and coach engineers on your team and across partner teams, contributing to hiring, career development, and a strong engineering culture.
- Identify opportunities to simplify existing systems, reduce technical debt, and apply generative AI tools where they improve productivity and product quality.

A day in the life
You might start your morning reviewing a design for a new connector that links Quick to an external business application, offering feedback that strengthens the approach before implementation begins. Later, you pair with engineers on a partner team to align on an API contract and discuss how agents will authenticate and act within a third-party system. In the afternoon, you write code for a critical integration component, balancing near-term delivery with long-term extensibility. Between deep technical work, you check operational dashboards, refine runbooks, and spend time coaching a teammate through a tricky problem.

About the team
The Quick team is on a mission to build an AI-native work surface where users simply express what they want to accomplish and Quick handles the rest, drawing on deep knowledge of the user, their team, and their organization. Our real-time connectors are central to that vision: they drive adoption by giving Quick the breadth and reliability enterprises demand. We value collaboration, technical rigor, and open dialogue. If you want to join an inclusive team where your work directly shapes how people interact with AI at work, we would love to talk.

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, WA, Bellevue - 168,100.00 - 227,400.00 USD annually

How we rate this

Sr. Software Development Engineer, AWS Quick at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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.

Key facts

Sr. Software Development Engineer, AWS Quick is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $168k-$227k a year.
The role is based in US, WA, Bellevue.
The job was posted on September 18, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsSoftware DevelopmentSystem ArchitectureAPI IntegrationMentoringAWSGenerative AI

Also common in software engineer jobs at this level

Python LLM Java Kubernetes TypeScript C++

Pay

This job starts at: $168k
Typical software engineer job: $168k

This posting starts close to the typical software engineer job. See software engineer jobs

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 software development was part of your work. What did you do?
Tell me about a project where system architecture was part of your work. What did you do?
Tell me about a project where api integration was part of your work. What did you do?
Tell me about a project where mentoring was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Software Development, System Architecture, API Integration, and Mentoring. 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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