Software QA Engineer

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./