Amazon
Senior SDE, Amazon Q Business (Level 6), Amazon Q Business
Amazon, Sunnyvale, California, United States, 94087
Senior SDE, Amazon Q Business (Level 6), Amazon Q Business
Job ID: 2830769 | Amazon.com Services LLC DESCRIPTION
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll 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 a cutting-edge 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, 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 AI-powered 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 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. 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. 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Job ID: 2830769 | Amazon.com Services LLC DESCRIPTION
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll 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 a cutting-edge 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, 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 AI-powered 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 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. 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. 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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