QA Engineer / Sr. QA Engineer - Machine Learning Platform for 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.

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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