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SDE III, Amazon Quick Suite

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Amazon.com, Inc.
Full Time position
Listed on 2026-05-20
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software, Software Engineer, Full Stack Developer
Job Description & How to Apply Below
Description

Amazon Quick Suite is revolutionizing workplace productivity through innovative generative AI technology. As a AI-powered assistant, it transforms how enterprises operate by empowering employees to be more creative, data-driven, efficient, prepared, and productive. Unlike traditional AI assistants, Quick leverages artificial intelligence to answer questions, provide summaries, generate content, and securely complete tasks based on enterprise data.

Central to its functionality is the ability to unify disparate data sources across organizations. With over 40 secure connectors to popular enterprise applications and document repositories, it offers a seamless experience that breaks down information silos and enhances collaboration. As a Software Development Engineer on the Quick team, you will play a vital role in designing, developing, and optimizing the platform's core components.

Your work will ensure high performance, scalability, and reliability while directly impacting how businesses leverage AI for enhanced operations and data-driven decision-making.

Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create solutions.

If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. Join us in shaping the future of work with Amazon Q Business and be part of a team that is making significant strides in the generative AI landscape for enterprise productivity.

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

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
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