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.
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Responsibilities- QA Architecture & Strategy: Develop and maintain a comprehensive QA architecture that supports full-stack applications and complex microservices.
- Risk Management: Prioritize bug fixes based on risk of failure and potential impact, while striking a productive balance between speed-to-market and exhaustive testing.
- Test Management: Utilize test case management (TCM) systems such as TestRail, Zephyr, Xray, PractiTest, qTest, or similar (your choice) to organize 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.
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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 TypeScript, alongside a strong architectural understanding of React and Node.js environments.
- Cloud & Database Proficiency: Familiarity with AWS services and both SQL and NoSQL (e.g., MongoDB) databases to effectively test data persistence and performance.
- Basic knowledge of Python
- Global Collaboration: Ability to work effectively with globally distributed teams.
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Strong Plus if You Have- Familiarity with Next.js
- Proficiency in Vitest, Jest or other unit and integration test solutions.
- Experience with Playwright or Cypress or similar End-to-End testing tools.
- AI/ML Literacy: Understanding of Machine Learning (Supervised & Reinforcement Learning), Predictive AI, and the validation of Data Pipelines.
- Proficiency in Python and experience with PySpark.
- Experience with Restricted Boltzmann Machines (RBM) for e-commerce funnel feature extraction.
- Prior experience in the e-commerce or Ad Tech ecosystems (Media Buying, DSPs, Conversion Optimization).
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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.
- Competitive compensation and generous paid time off.
- Remote work flexibility allows you to work from nearly anywhere on Earth, provided you can maintain a few overlapping hours with Central European Time (CET).
- Opportunity to develop deep expertise in creating and testing cutting-edge predictive AI applications, which goes far beyond using other companies’ AI tools.
