Software Development Engineer, Amazon Q Business

AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (Iot) Platform and Productivity Apps services in AWS. Within AWS UC Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Amazon Q Business is revolutionizing workplace productivity through innovative generative AI technology. As AIpowered assistant it transforms how enterprises operate by empowering employees to be more creative datadriven efficient prepared and productive. Unlike traditional AI assistants Amazon Q Business leverages advanced 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 search experience that breaks down information silos and enhances collaboration. Additionally Amazon Q Apps allows employees to quickly create and share generative AIpowered applications fostering a culture of innovation within the workplace.
As a Software Development Engineer II on the Amazon Q Business team you will play a vital role in designing developing and optimizing the platforms core components. Your work will ensure high performance scalability and reliability while directly impacting how businesses leverage AI for enhanced operations and datadriven decisionmaking.
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
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3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language

3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent

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