Remote AI QA Engineer — Automation & Manual Testing

Encora10; Neuquén; Remote; ARS 108,178,000 - 169,994,000; Full time

Job summary

Tether is seeking an Automation QA Engineer to lead automated testing for desktop and mobile apps while owning manual testing as needed. You will build robust test suites, integrate them into CI/CD pipelines, and ensure fast, reliable test cycles across platforms.

Responsibilities include investigating failures, fixing flaky tests, and collaborating with developers and product teams on acceptance criteria. Experience with AI-assisted QA is a plus.

Qualifications

• 4+ years in QA automation with hands-on manual testing experience.
• Experience running tests in CI/CD pipelines such as GitHub Actions.
• Hands-on with Playwright for desktop or web and WebdriverIO + Appium for mobile.
• Experience testing Electron and React Native apps, including on real iOS and Android devices.
• Experience using AI tools in QA; testing AI-powered applications is a plus.

Responsibilities

• Build and maintain desktop and mobile test automation for critical user flows.
• Integrate tests into CI/CD pipelines and keep them fast and reliable.
• Investigate failures, fix flaky tests, and manage test data and environments.
• Report clear, reproducible bugs and verify fixes.
• Work with developers and product on testability and acceptance criteria.
• Perform hands-on functional, exploratory, and regression testing of new features.
• Choose manual or automated coverage based on risk; maintain regression suites.

Skills

QA Automation

Playwright

WebdriverIO

Appium

CI/CD (GitHub Actions)

Manual Testing

Job description

Tether is seeking an Automation QA Engineer to lead automated testing for desktop and mobile apps while owning manual testing as needed. You will build robust test suites, integrate them into CI/CD pipelines, and ensure fast, reliable test cycles across platforms.

Responsibilities include investigating failures, fixing flaky tests, and collaborating with developers and product teams on acceptance criteria. Experience with AI-assisted QA is a plus.