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. **Requirements** * 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). **Benefits** * The opportunity to shape the QA culture and architecture from the ground up. * An attractive career path on either a management or an individual contributor track. * Genuine learning, training and development opportunities, supported by regular performance reviews * Competitive compensation and generous paid time off. * Work\-from\-anywhere flexibility * Opportunities to develop expertise in building cutting\-edge predictive AI applications.