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Customertimes is seeking a QA Engineer focused on manual testing for an NLP-enabled analytics platform. You will validate MS Dynamics 365 customizations, data workflows, and cross-system processes to ensure data integrity.
Write test plans and cases, report defects in Jira/Azure DevOps, and support UAT. Join a global, remote LATAM-friendly team and contribute to an automation uplift while maintaining high QA standards.
Hello, our name is Customertimes, but you can call us CT. We are a global digital engineering, product development, and technology consulting company. Headquartered in New York, we have a team of 1000+ experts working across 65+ countries.
Location: LATAM (remote)
Additional comments: We are seeking a QA Engineer with a strong foundation in functional testing and growing automation capabilities to join our analytics product team. You will own end-to-end quality for an NLP-enabled analytics platform — validating complex data workflows, charts, dashboards, and reporting UIs — while contributing to and scaling our Python/pytest/Selenium automation framework. This role is ideal for someone with deep manual QA experience on data-intensive applications who has hands-on automation exposure and is motivated to develop their scripting skills further in a collaborative team environment.
If you're looking to contribute to global projects, grow your skills, shape the way you work, and be part of a connected international community — Customertimes is the place to build your next career chapter.
Originally posted on Himalayas