About the role DroneShield is seeking a hands-on QA Software Engineer with experience in software system validation and exposure to AI/ML-driven and sensor-integrated platforms. You will contribute to test execution, automation, and quality practices across Linux-based systems that integrate software services, firmware components, intelligent models, and sensors. In this role, you will work closely with engineers across software, data, and DevOps teams to support end-to-end QA activities, including functional, integration, and regression testing. The ideal candidate is a motivated team player who can plan and execute testing tasks independently, contribute to automation efforts, and continuously improve product quality within a collaborative, fast-paced environment. Responsibilities, Duties and Expectations Design, execute, and maintain manual and automated tests across software components and integrated systems. Contribute to test automation frameworks and CI/CD pipelines under guidance from senior engineers. Plan and execute test cycles for software features, APIs, and integrated solutions. Perform hands-on testing, including functional, regression, and integration testing. Support field testing activities for embedded or integrated products when required. Collaborate with software engineers, data scientists, and DevOps teams to improve test coverage and product quality. Create and maintain test cases, test data, and test documentation in test management tools. Identify, log, and track defects, and assist in root-cause analysis. Actively participate in improving QA processes, standards, and test practices. Qualifications, Experience and Skills 3–6 years of experience as a QA or Software Test Engineer. Solid understanding of software testing fundamentals across web, API, and backend systems. Working knowledge of Linux and test automation tools such as Selenium, Pytest, Playwright, or K6. Programming or scripting experience in Python, JavaScript, or Go. Hands-on experience with test management tools such as Xray, Zephyr, or QMetry. Exposure to CI/CD pipelines and basic containerisation concepts (e.g. Docker). Ability to plan and execute testing tasks independently with guidance when needed. Strong analytical, debugging, and communication skills. Desirable Exposure to embedded systems, IoT, or hardware-integrated software testing. Experience with non-functional testing, including performance or reliability testing. Familiarity with testing AI/ML-driven or data-intensive systems. Awareness of sensor-based systems or edge-device testing concepts. Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed. 518
