Remote QA Automation Engineer (AI/ML-Powered Testing)

BairesDev; Rosario; Híbrido; ARS 139.086.000 - 185.448.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Flextime and remote/office options

Descripción de la vacante

AgileEngine is seeking an Automation QA Engineer with strong automation skills and hands-on testing for desktop and mobile apps. You will build and maintain regression tests, collaborate with developers, and ensure quality through the SDLC.

The role supports both remote and office options as part of a flexible, people-first environment. You will use Playwright/WebdriverIO for automation, integrate tests into CI/CD pipelines, and leverage AI-assisted QA tools for smarter testing.

Formación

• 4+ years in QA automation and manual testing.
• Experience writing and using Gherkin for BDD.
• Experience running tests in CI/CD pipelines (e.g., GitHub Actions).
• Experience testing Electron/React Native apps on iOS/Android devices.

Responsabilidades

• Build regression automation scripts for desktop/mobile apps.
• Perform manual testing to validate features against criteria.
• Execute smoke, regression, integration, and performance tests.
• Document test results with clear pass/fail criteria.
• Collaborate with product and development teams to ensure quality across SDLC.

Conocimientos

QA experience

Automated testing

Gherkin

Prompt engineering

Agentic QA skills

Communication

Educación

Computer Science degree

Herramientas

Playwright

WebdriverIO

Appium

GitHub Actions

Jest

Postman

Descripción del empleo

AgileEngine is seeking an Automation QA Engineer with strong automation skills and hands-on testing for desktop and mobile apps. You will build and maintain regression tests, collaborate with developers, and ensure quality through the SDLC.

The role supports both remote and office options as part of a flexible, people-first environment. You will use Playwright/WebdriverIO for automation, integrate tests into CI/CD pipelines, and leverage AI-assisted QA tools for smarter testing.