QUALITY ASSURANCE ENGINEER I, AMAZONMUSIC/CCMP/MMO
Descripción de la oferta de empleo
Key job responsibilities * Evaluate device functionality and create test strategies and test cases to assess device quality for multiple regions.
* Work with a team of quality engineering professionals to ensure the highest quality product delivery against defined milestones * Test execution and automation * Bug triage and defect tracking * Provide detailed status reports for a wide range of stakeholders * Communication with a wide range of stakeholders (users, other technical teams and management) to collect requirements, evaluate alternatives and develop processes and/or tools as needed to support the organization.
About the team Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators.
From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture.
We offer experiences that serve all listeners with our different tiers of service.
Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices.
Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.
Learn more at https://www.
mazon.
om/music.
BASIC QUALIFICATIONS - 2+ years of quality assurance engineering experience - Experience in automation testing - Experience in manual testing - Experience in UI and API automation testing (Selenium/SOAPUI) - English level C1 or equivalent 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 - Interest in linguistics, machine learning and large language models - Experience working on an Agile environment (e.
.
Scrum, Kanban) - Experience with professional software engineering practices & best practices for the full software development life cycle - Experience working closely with development and business teams to communicate problem and impact
Detalles de la oferta
- Amazon
- 24/09/2024
- 23/12/2024
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