Software QA Engineer

Job Description We are looking for a Software QA Engineer to be involved in software projects in various Artificial Intelligence fields. The candidates are expected to take end-to-end ownership of quality across web, mobile, API, and LLM-based systems; design and execute risk-based test strategies; combine manual and automated testing approaches; collaborate closely with product, software, and AI teams throughout the SDLC; and ensure reliable, secure, and high-quality AI-driven products from development to production. Skills & Requirements Bachelor’s degree in Computer Engineering, Electrical & Electronics Engineering, Software Engineering, or a related engineering discipline, Having at least 5 years of experience as a Test Engineer and/or QA Specialist, Having strong knowledge of the Software Development Life Cycle (SDLC) and test methodologies, Being experienced with test automation tools such as Selenium, Playwright, Appium, Postman, Pytest, or similar, Having experience in testing APIs, mobile applications, and AI-based systems, Having basic Python knowledge and being able to work with data formats such as JSON and XML, Taking end-to-end responsibility for the quality of LLM-based web and mobile applications, including test planning, test scenario design, functional and validation testing, and quality processes, Developing risk-based test strategies according to product features and designing the required test scenarios, Collaborating with product, software, and AI teams to review user stories and acceptance criteria from a testability perspective, Being familiar with LLM technologies at a level that enables planning and execution of functional, performance, and security tests, Creating test datasets to measure the accuracy, consistency, and reliability of AI-generated outputs, Performing manual testing for exploratory testing, edge cases, new feature validation, and regression scenarios where automation is not suitable, Converting repetitive and stable scenarios into end-to-end (E2E) automated tests, Performing user experience, performance, connectivity, and security testing for web and mobile applications, Designing, implementing, and maintaining end-to-end (E2E) tests covering web, mobile, and API layers, Integrating E2E, API, and integration tests into CI/CD pipelines to establish meaningful quality signals and quality gates, Monitoring production quality signals (user feedback, defects, etc.) and driving continuous improvement in SDLC and test processes, Reporting test results in detail and providing product and architectural improvement recommendations, Managing test findings in close coordination with software and AI teams, Participating in field testing when required, including closed-network or offline environments. Benefits You will directly work with highly experienced engineers, researchers and academicians with extensive experience on Artificial Intelligence. We highly encourage applicants to pursue MS and PhD degrees and help them to accomplish these goals. We provide seminars and lectures on data analysis, machine learning and deep learning topics. You will enrich yourself in the most state-of-the-art tools and technologies. We offer highly competitive salary packages, which are highly flexible based on merit and performance. Social/ Side Benefits: Private Health İnsurance, Restaurant Ticket (MultiNet Card), Birthday off, Annual Elective Benefits. DataBoss A.Ş. DataBoss is a high-tech company developing big data and artificial intelligence technologies. Main Research & Development activities at DataBoss are focused on natural language processing, time-series analysis, computer vision, anomaly detection and real-time big data processing. DataBoss has a group of talented engineers supported by top academicians and researchers. For more information you can check https://www.data-boss.com.tr or https://www.linkedin.com/company/databoss-security&analytics-ltd.-sti./