Remote job
Quality Assurance Analyst/Engineer (Remote @Colombia or @Mexico)
Job details
About this role
Role overview
Help product and engineering teams build quality into mobile and web products from discovery through release and production learning. The work combines risk-based test design, hands-on functional and nonfunctional testing, automation, and experiments with AI-assisted quality workflows. This position is available to candidates outside the United States and its territories; English fluency is required.
Responsibilities
- Join product discussions early to shape acceptance criteria, identify user and business risks, and define quality expectations. - Plan and conduct functional, integration, regression, and performance testing across mobile apps and web experiences. - Use AI tools to generate and assess test scenarios, analyze failures and logs, improve automation, and support bug investigation. - Build reusable AI-assisted workflows, prompts, reports, or agents for QA and engineering colleagues. - Use analytics, crash data, support reports, and user feedback to guide testing and monitoring priorities. - Track meaningful quality measures, improve flaky or fragile tests, and share evidence about which approaches work.
Requirements
- At least three years of experience in QA analysis or engineering, including functional, integration, regression, and performance testing. - Mobile app and web testing experience, plus test automation experience, especially with Maestro and Playwright. - Ability to gather requirements and create detailed test plans while working directly with engineering teams. - Strong spoken and written English communication. - Experience applying AI to QA, including designing prompts, agents, or workflows and critically validating generated tests or code. - Knowledge of QA methods and the judgment to work independently, experiment, and adapt in an evolving environment. - Computer science or related degree, or equivalent experience.
Nice to have
- ISTQB certification, Agile experience, or familiarity with AWS infrastructure and CI/CD pipelines.