QA Engineer

• Establish new QA processes focused on Test Data Management (TDM) and documentation creation.
• Define and structure QA processes aligned with industry best practices.
• Implement and monitor QA governance, ensuring standardization, traceability, and continuous improvement of testing practices.
• Create and maintain quality policies and guidelines, ensuring adoption across development and testing teams.
• Promote a quality-first culture within squads, encouraging practices such as shift-left testing and CI/CD with test automation.
• Establish processes for test environment management, ensuring stability and availability for test execution.
• Create action plans based on root cause analyses to mitigate recurring issues.
• Monitor failure indicators and trends to prevent future problems and improve test efficiency.
• Foster a culture of feedback and continuous learning by conducting retrospectives and post-mortems to evolve QA processes.
• Collaborate with development, security, and infrastructure teams to eliminate systemic issues and improve software quality.
• Define strategy and planning for the use of test data and test datasets to ensure adequate coverage of test scenarios.
• Configure and administer TDM tools for provisioning, anonymization, and versioning of test data.
• Automate generation and handling of test datasets using techniques such as masking and synthetic data generation.
• Create and maintain processes for test data management, ensuring compliance with regulations such as LGPD and GDPR.
• Identify, extract, and provision anonymized production data for test environments, minimizing security risks and data leaks.
• Implement policies and best practices for test data governance, ensuring availability, quality, and traceability.
• Collaborate with development and QA teams to ensure that test data supports different types of testing (functional, non-functional, performance, security).
• Support definition of test environments and integration with CI/CD pipelines to ensure automated provisioning of data.
• Monitor and optimize the use of test data to avoid redundancies and improve test execution efficiency.
• Support the team in diagnosing and resolving quality-related issues.
• Contribute to continuous improvement of QA processes.

Hybrid QA Analyst

QA Analyst Xray

Mid-Level QA