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QA Engineer / Sr. QA Engineer - Machine Learning Platform for E-Commerce at AppIQ Tech. AppIQ Tech is seeking a meticulous and strategic QA Engineer / Sr. QA Engineer to ensure the quality and reliability of our Machine-Learning-driven e-commerce funnel optimisation and digital advertising platform. . You will be responsible for defining the testing strategy for high-performance applications that leverage our proprietary Predictive AI solutions. . As a key member of our fast-paced startup, you will balance the need for rapid feature deployment with the necessity of thorough testing. You will be responsible for identifying and prioritising the highest-risk bugs to ensure our scalable services, which manage millions of daily events, remain robust and accurate. . QA Architecture & Strategy:. Develop and maintain a comprehensive QA architecture that supports full-stack applications and complex microservices. . Risk Management:. Prioritise bug fixes based on risk of failure and potential impact, while striking a productive balance between speed-to-market and exhaustive testing. . Test Management:.  Utilise test case management (TCM) systems such as TestRail, Zephyr, Xray, PractiTest, qTest, or similar to organise test cases, track execution, and provide transparent reporting on quality metrics. . Automated Testing:. Design, implement, and scale automated test suites using tools such as Playwright, Cypress, and Appium. . Testing & Validation:. Perform rigorous unit tests and integration tests on applications built with TypeScript, React, Node.js, Python, and PySpark. . Infrastructure Testing:. Verify the reliability of deployments across AWS (EC2, S3, Firehose) and Cloudflare edge environments. . Data Integrity:. Collaborate with Data Engineers to validate the accuracy of complex event data and real-time reporting dashboards. . Cross-Functional Collaboration:. Act as a great team player with excellent communication skills, working closely with developers and data scientists to ensure a seamless end-user experience. . 4+ years of professional experience in software quality assurance or engineering, with a strong focus on scalable web applications (7+years for Sr. QA Engineer). . Strong grasp of QA architecture and modern testing methodologies. . Deep expertise in the tech stack used by our engineers, specifically TypeScript, React, Node.js, Python, and PySpark. . Cloud & Database Proficiency: Familiarity with AWS services and both SQL and NoSQL (e.g., MongoDB) databases to effectively test data persistence and performance. . Global Collaboration: Ability to work effectively with globally distributed teams. . Strong plus if you also have:. AI/ML Literacy. :.  Understanding of Machine Learning (Supervised/Reinforcement Learning), Predictive AI, and the validation of Data Pipelines. . Proficiency in Python or experience with PySpark. . Prior experience in the e-commerce or Ad Tech ecosystem (DSPs, Audience Data, Fraud detection). . Company Location: Poland.