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QA Automation Engineer (Contractor / Freelancer) - Remote

Posted 2 weeks ago
QA
Contract
Argentina, Brazil, Colombia, Costa Rica, Mexico, Serbia, Poland, Czechia, Romania

Overview

Avatria is looking for a QA Automation Engineer to join our Services team, ensuring the quality, reliability, and performance of Commerce and Content systems for our customers.

In Short

  • Perform thorough manual testing (functional, regression and smoke).
  • Design, develop, and maintain automated test scripts.
  • Identify, log, prioritize, and track defects.
  • Collaborate with development, product, and business teams.
  • Professional experience in software quality assurance.
  • Proficient with test automation frameworks (e.g. Selenium, Playwright, Cypress).
  • Expertise in API testing using tools like Postman.
  • Experience with mobile application testing (iOS and Android).
  • Familiarity with test management tools (e.g. Jira, Azure DevOps).
  • Excellent communication skills.

Requirements

  • Strong understanding of the entire SDLC and methodologies (Agile/Scrum).
  • Experience with CI/CD pipelines (e.g. Jenkins, GitLab CI).
  • Knowledge of database querying (SQL).
  • Experience in Digital Commerce or Content Management domain.
  • Experience with Commerce platforms (e.g. SAP Commerce, Shopify).
  • Experience with Content Management platforms (e.g. Adobe Experience Manager).

Benefits

  • Innovative work environment.
  • Opportunity to work with cutting-edge technologies.
  • Collaborative team culture.
  • Focus on professional development.
  • Flexible working arrangements.
TransPerfect logo

TransPerfect

TransPerfect is the world’s largest provider of language and technology solutions for global business, with a presence in over 100 cities worldwide. The company offers high-quality data for Human-Machine Interaction, catering to some of the most prestigious technology companies. Their DataForce division specializes in gathering, enriching, and processing data for Machine Learning across various AI domains, ensuring the development of advanced machine learning systems such as neural networks and generative models.

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