Functional QA Engineer (On-site)

Mexico·Mexico Citymid

EngineeringQa Engineer

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Knowledge of ISTQB Experience in software testing (function

Technical Tools

EngineeringQa Engineer

Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve.

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

Responsibilities

~1 min read

→Review and analyze product specifications to define the execution of the test to ensure compliance.

→Design, develop, and execute manual test cases.

→Identify, document, and report bugs using Jira as a tracking tool, as well as prioritize and classify bugs according to their severity and impact.

→Collaborate with the development team to reproduce and resolve issues.

To be successful in this role, you need:

Knowledge of ISTQB
Experience in software testing (functional, regression, integration, etc.)
Familiarity with management tools (Jira, Confluence)
Knowledge of API validation using Postman
Knowledge of Agile Scrum methodology
Strong analytical and critical thinking skills
Knowledge of the Software Development Life Cycle (SDLC)
Manual mobile testing
Installation of mobile applications .APK (Android) and .IPA (iOS)
Tools for debugging REST service request traffic (Android Studio, Charles, or Proxyman)
Knowledge of BDD (Behavior-Driven Development)
Knowledge of Gherkin
Knowledge of QA management tools (QMetry, Zephyr, TestNG, or TestRail)

Mobile test automation (Python + Behave + Appium)
AI Tooling Proficiency: Ability to leverage one or more AI tools to optimize and augment day-to-day editorial work, including drafting, analysis, research, or content validation. Provide recommendations on AI use and identify opportunities to streamline editorial workflows.