QA Engineer – AI-Powered Test Automation

Há 4 dias

Remoto, Brasil Animati Tempo inteiro R$90.000 - R$120.000 por ano
REMOTE
Main Responsibilities
  • Develop and maintain automated test suites for full-stack .NET applications using AI-assisted tools;
  • Leverage AI tools (TestRigor, Mabl, GitHub Copilot, including Copilot for Test Automation, etc.) to accelerate test creation and execution;
  • Implement functional, integration, regression, and performance tests to ensure application quality and scalability;
  • Work alongside developers using AI-generated code to validate functionalities and ensure software quality;
  • Participate in code reviews and agile ceremonies (sprints, daily stand-ups, retrospectives);
  • Design and execute continuous testing strategies in CI/CD pipelines (Azure DevOps, GitHub Actions, or similar);
  • Monitor test execution and analyze AI-generated results to quickly identify and resolve issues;
  • Promote a "shift-left" culture to ensure quality from the start of development;
  • Create scripts for load, stress, and security testing to ensure system resilience.
Benefits
  • Work directly with portfolio companies to drive innovation and generate real impact;
  • Leverage cutting-edge AI tools to accelerate full stack development;
  • Be part of a high-performance team within a long-term investment company;
  • Competitive compensation package, benefits, and professional growth opportunities.
Required Knowledge
  • Degree in Data Science, Computer Science, Engineering, or related fields;
  • Experience in Software Quality Assurance with a focus on automation (minimum of 3 years);
  • At least 6 months of hands-on experience with AI-based QA tools (e.g., TestRigor, Mabl);
  • Strong knowledge of automation frameworks such as Selenium, Cypress, Playwright, among others;
  • Experience creating automated tests for APIs, databases, and UI;
  • Experience working in agile teams (Scrum/Kanban) and active participation in code reviews;
  • Practical experience integrating tests into CI/CD pipelines;
  • Problem-solving skills and ability to leverage AI to accelerate test creation and debugging;
  • Fluency in English (spoken and written) for communication in a global environment.
Desired Knowledge
  • Knowledge of performance testing (JMeter, k6, or similar);
  • Experience with security testing tools.
Skills
  • Critical thinking and attention to detail;
  • Proactivity in identifying and solving failures;
  • Clear and collaborative communication;
  • Focus on quality from the start;
  • Analytical ability for interpretation;
  • Adaptability to emerging AI tools.
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