QA Engineer – AI-Driven Test Automation in Brazil, Indiana at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a QA Engineer – AI-Driven Test Automation based in Brazil.

This role offers the opportunity to shape software quality practices through advanced automation and AI-powered testing solutions. You will support the development of scalable full-stack applications by designing intelligent testing strategies and improving engineering reliability. The position combines quality assurance expertise, automation frameworks, AI-assisted tools, and modern software delivery practices. You will collaborate with development teams to embed quality throughout the software lifecycle and accelerate testing processes. This is an ideal opportunity for professionals passionate about innovation, continuous improvement, and the future of AI-enhanced software engineering. You will contribute to high-impact technology initiatives while working in an environment focused on scalability, efficiency, and technical excellence.

The role focuses on creating and optimizing automated testing strategies, ensuring software reliability, and integrating AI-powered solutions into modern quality engineering practices.

• 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.

Requirements:

The ideal candidate has strong QA automation experience, familiarity with AI-driven testing solutions, and the ability to collaborate effectively within agile engineering teams.

• 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.

Benefits:

• Remote work opportunity.
• Competitive compensation package.
• Opportunity to work with AI-driven development teams and modern QA technologies.
• Exposure to innovative testing approaches and automation strategies.
• Opportunity to contribute to high-impact software projects across different technology environments.
• Professional growth opportunities within a technology-focused team.
• Collaborative environment focused on innovation, quality, and continuous improvement.
• Opportunity to work with advanced AI-powered tools that enhance engineering productivity.