Senior QA Engineer (AI + AUTOMATION)

We are looking for a Senior QA Automation Engineer with extensive experience in both manual and automated testing to support projects that integrate AI-driven features into our existing dynamic software ecosystem. This role is ideal for someone assertive, analytical, and delivery-focused—someone who thrives in fast-paced environments, holds high standards, and knows how to build robust testing infrastructure while being pragmatic and results-driven. The ideal candidate will design, build, and maintain automation suites while also performing thorough manual testing to ensure the reliability, accuracy, and performance of AI-enhanced applications. This role requires strong technical testing skills, familiarity with .NET and Python environments, extensive experience validating systems that rely on MariaDB, SQL Server, APIs, and backend services. Key Responsibilities Design, develop, implement, execute and maintain robust, scalable end-to-end test automation frameworks, including functional, load, performance testing for .NET and Python based applications. Perform comprehensive manual testing, including functional, regression, integration, system, and exploratory testing with clear concise test flows. Validate AI-integrated features, ensuring accuracy, consistency, and expected behavior across diverse scenarios. Design, develop, implement, maintain and execute API tests, verifying correctness of data flows between AI models, services, and databases. Collaborate closely with developers, product owners, and data/AI teams to understand requirements, acceptance criteria, and test strategy. Design, develop and maintain test plans, traceability matrices, test cases, and test documentation. Identify, document, and track defects; verify fixes and ensure high quality standards are met. Ensure robust and complete test coverage for databases (MariaDB and SQL Server), including validating queries, stored procedures, data integrity and performance. Participate in CI/CD pipelines by integrating automated tests into deployment workflows. Ownership mindset, Pro-actively contribute to improving QA processes, automation frameworks, and overall software quality practices. Required Skills and Qualifications Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). 5+ years of experience as a Senior within a Software QA automation engineering role. Hands-on experience with QA automation tools (e.g., Selenium, Playwright, Cypress, or similar). Experience testing .NET applications, APIs, and backend services. Intermediate Python knowledge for scripting, test automation, validating AI-driven components. Advanced SQL knowledge for writing queries, validating data, and debugging issues in MariaDB or SQL Server. Experience with manual testing methodologies and creating well-structured test cases. Familiarity with testing AI-related behaviors such as data transformation, model outputs, and probabilistic responses. Knowledge of Git and CI/CD pipelines. Critical thinker, strong analytical and problem-solving skills. Detail oriented with advanced documentation and communication abilities. Preferred Qualifications Experience with frameworks such as pytest, NUnit, xUnit, or similar. Background testing machine learning or AI-enhanced applications (e.g., NLP, classification, automation workflows). Experience with performance testing tools (e.g., JMeter, k6). Knowledge of Docker and container-based testing environments. Understanding of security testing considerations for AI and backend systems. Familiarity with Redis or other caching/message store systems. Experience working in Agile/Scrum environments across distributed teams.