QA Engineer – AI-Driven Test Automation
J
JobgetherSoftware Quality Assurance
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Advanced English
- Experience
- 3+ years
- Required Skills
- AgileCypressJMeterAPI testingSeleniumCI/CDPlaywright
Requirements
- 3+ years of experience in software quality assurance with a focus on test automation.
- Hands-on experience with AI-driven QA tools such as TestRigor, Mabl, or similar platforms.
- Strong understanding of test automation frameworks including Selenium, Cypress, Playwright, or equivalent technologies.
- Experience creating automated tests for APIs, databases, and user interface components.
- Experience working within Agile methodologies such as Scrum or Kanban.
- Experience integrating automated testing into CI/CD pipelines.
- Strong analytical, debugging, and problem-solving skills.
- Ability to use AI tools to improve test creation efficiency and accelerate troubleshooting.
- Advanced English proficiency.
- Degree or equivalent professional background in technology, software engineering, or related fields.
- Experience with performance testing tools such as JMeter, k6, or similar solutions is a plus.
- Knowledge of security testing practices and tools is desirable.
Responsibilities
- Develop and maintain automated test suites for full-stack .NET applications using AI-assisted testing tools.
- Leverage AI-powered QA platforms and automation solutions to accelerate test creation, execution, and maintenance.
- Implement automated functional, integration, regression, and performance testing to ensure application quality and scalability.
- Validate functionality and reliability of applications developed using AI-assisted coding tools such as Cursor and GitHub Copilot.
- Participate in code reviews and Agile ceremonies, including sprint planning, standups, and retrospectives, with a focus on testability and quality.
- Design and implement continuous testing strategies within CI/CD pipelines using platforms such as Azure DevOps, GitHub Actions, or similar tools.
- Analyze automated test results, identify quality issues, and collaborate with engineering teams to resolve defects.
- Promote shift-left testing practices by integrating quality processes earlier in the development lifecycle.
- Create load, stress, and security testing scripts to improve application resilience and performance.
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