Quality Engineer

Ampstek; Buenos Aires; On-site; ARS 700,000 - 1,100,000; Full time

Job summary

Ampstek is seeking a QA Automation Engineer for long-term engagement in Argentina to drive mobile app automation using Appium, cover native iOS and Android testing, and implement API test automation. The role emphasizes end-to-end automation, reliable tests, and strong observability to support defect investigation.

The candidate will work with CI/CD practices, particularly GitHub Actions, and contribute to reusable test-data strategies to improve automation throughput and quality.

Qualifications

• Experience with mobile automation using Appium.
• Hands-on native iOS and Android testing and automation.
• Experience with API testing and API automation frameworks.
• Experience with end-to-end automation and customer journey testing.
• Familiarity with CI/CD tools, especially GitHub Actions.
• Ability to create test data and reusable test data strategies.
• Focus on automation reliability and addressing flaky or inefficient tests.
• Experience with logs and observability for defect investigation and RCA.

Responsibilities

• Appium for mobile automation.
• Native iOS and Android testing and automation.
• API testing and API automation frameworks.
• Customer Journey / End-to-End automation.
• CI/CD tools and GitHub Actions.
• Test-data creation and reusable test-data approaches.
• Automation reliability, including addressing flaky or inefficient tests.
• Logs, observability and other engineering tools used for defect investigation and root-cause analysis.

Skills

Appium

iOS testing

Android testing

End-to-End automation

CI/CD practices

Test data management

Flaky test handling

Observability & logs

Tools

GitHub Actions

Automation frameworks

Defect investigation tools

Job description

Long Term Contract

JD:

• Appium for mobile application automation.


• Native iOS and Android testing and automation.


• API testing and API automation frameworks.


• Customer Journey / End-to-End automation.


• CI/CD tools and practices, particularly GitHub Actions.


• Test-data creation and reusable test-data approaches.


• Automation reliability, including identifying and resolving flaky or inefficient tests.


• Logs, observability and other engineering tools used for defect investigation and root-cause analysis.