Remote AI QA Automation Engineer (CI/CD & AI Testing)

Blacksmith Agency Llc; La Pampa; Remote; ARS 139,086,000 - 200,903,000; Full time

Job summary

Tether is seeking an Automation QA Engineer to own desktop and mobile test automation while performing hands-on manual and exploratory testing.

Build and maintain tests, integrate into CI/CD (GitHub Actions), and ensure fast, reliable release cycles across Electron/React Native apps and web platforms.

You'll collaborate with developers and product teams to improve testability and acceptance criteria, and leverage AI tools to enhance QA processes.

Qualifications

• 4+ years in QA automation with manual and exploratory testing.
• Experience running tests in CI/CD pipelines (GitHub Actions).
• Hands-on experience with Playwright for desktop/web, and WebdriverIO + Appium for mobile.
• Experience testing Electron and/or React Native apps, including on real devices.
• Experience using AI tools in QA 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

Manual testing

Exploratory testing

CI/CD (GitHub Actions)

Tools

Playwright

WebdriverIO

Appium

Electron

React Native

Job description

Tether is seeking an Automation QA Engineer to own desktop and mobile test automation while performing hands-on manual and exploratory testing.

Build and maintain tests, integrate into CI/CD (GitHub Actions), and ensure fast, reliable release cycles across Electron/React Native apps and web platforms.

You'll collaborate with developers and product teams to improve testability and acceptance criteria, and leverage AI tools to enhance QA processes.