Elite E-Commerce

• AppIQ Technologies 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 (your choice) 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 **or similar tools. • **Testing & Validation: **Design and execute rigorous integration, API, and End-to-End tests on applications built with TypeScript, React, Node.js, Python, and PySpark. • Collaborate with developers to ensure adequate **unit test **coverage. • **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.