QA Engineer

QA Engineer – AI-Powered Test Automation - Remote Job Link: 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.