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Amazon Quality Assurance Engineer-I Kindle Reader India, Tamil Nadu 27929981
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Key job responsibilities
* Develop and execute test plan, test cases to assess product quality meets requirements for both Functional & Non-Functional aspects.
* Develop, Execute and Maintain automation scripts to accommodate new feature releases and tools to shift-left code quality in the team.
* Create high quality defects and work with developers to identify the root cause and resolve issues.
* Experience developing in Java, Swift, C++, Python or Javascript.
* 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.
* Communicate and coordinate with internal/external teams and management on requirements and status updates.
* Excellent communication, collaboration, reporting, analytical and problem solving skills.
- 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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