Software Development Engineer, AWS Quick
AI in this role
Design and deliver third-party integrations and connectors enabling AI agents to take action within Amazon Quick's AI-native work surface.
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
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred qualifications
- 3+ 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 - 143,700.00 - 194,400.00 USD annually
How we score this
Software Development Engineer, AWS Quick at Amazon scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
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 engineering 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 distributed systems was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Agents, Software Engineering, System Architecture, Api Integration, and Distributed Systems. 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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