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    Quality Assurance Engineer-I - Chennai, India - ADCI - Tamil Nadu

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    Full time
    Description

    In the Kindle Reader Engineering org, we inspire customers to read more and get more out of reading, every day on all their devices.

    We deliver experiences that make Kindle the "indispensable" way to read, so that once customers try it they can't imagine reading any other way.

    We help people find more moments and more ways to discover and enjoy books, periodicals, and other content they love.

    We innovate and deliver features designed to acquire new customers, get more of them to buy and read their first book, and inspire them to read more books more often.

    We deliver a beautiful experience across devices that is functionally consistent and authentic to the devices it lives on. We build better and faster. We break projects into iteratively shippable MVPs, delivering them via consistent release trains. We invest in mechanisms to increase our velocity and quality, including making cross-OS development more efficient and less expensive.

    And we work with upstream and downstream partners to make integration more efficient and agile, empowering them to extend our experience.

    Our Quality Assurance Engineers are part of building a delightful experience that we deliver to customers. The engineers have the opportunity to work with multiple stakeholders from product managers to beta customers. The features are cross-OS and the QA engineers carry the responsibility to test and deliver in these environments. They get opportunities to work on solving difficult test strategies along with the development team.

    We test on multiple surfaces as we support Kindle for Android, Kindle for iOS, Kindle on Amazon Fire tablets and Kindle E-readers.

    We are looking for a Quality Assurance Engineer who will be thrilled to work on our engagement features that customers love and enjoy in their everyday reading.

    Key job responsibilities
    • Develop and execute test plan, test cases to assess product quality meets requirements for both Functional & Non-Functional aspects.
    • Create high quality defects and work with developers to identify the root cause and resolve issues.
    • Will work in an Agile/Scrum environment to deliver high quality software against schedules
    • Use professional software engineering practices & best practices including coding standards, code reviews, source control management, build processes, testing, and operations.
    • Develop, Execute and Maintain automation scripts to accommodate new feature releases and tools to shift-left code quality in the team.
    • Experience developing in Java, Swift, C++, Python or Javascript.
    • Communicate and coordinate with internal/external teams and management on requirements and status updates.
    • Excellent communication, collaboration, reporting, analytical and problem solving skills.
    We are open to hiring candidates to work out of one of the following locations:
    Chennai, TN, IND


    BASIC QUALIFICATIONS

    • 1+ years of quality assurance engineering experience Bachelor's degree Experience in manual testing Experience in automation testing Experience in communicating with users, other technical teams, and management to collect requirements, evaluate alternatives and develop processes and tools as needed to support the organization Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations Knowledge of QA methodology and tools

    PREFERRED QUALIFICATIONS

    • Experience in API & Mobile testing
    • Experience designing and planning test conditions, test scripts, and test data sets to ensure appropriate and adequate coverage and control
    • Experience in Java/Perl/Python based automation
    • Experience testing back end services
    • Experience running or troubleshooting code in at least one modern programming language
    • Basic Knowledge of Generative AI, LLM and Machine Learning technologies.


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