QA Engineer / Sr. QA Engineer - Machine Learning Platform for E-Commerce
Role summary by JobGrid
QA Engineer / Sr. QA Engineer - Machine Learning Platform for E-Commerce at AppIQ Technologies: Remote, Mexico; Full time. This listing is part of JobGrid's Remote AI jobs from public company career pages. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying. This listing is part of JobGrid's Remote QA tester jobs from public company career pages.
- Location and workplace: Remote, Mexico
- Role classification: Full time
- Source freshness: checked by JobGrid on 2026-05-28.
- Application path: candidates continue to the employer application page with non-personal referral tags.
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.