QA Architect for Predictive AI Platform (Remote)

AppIQ Tech; France; À distance; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

The opportunity to shape QA culture

Career path on management or IC track

Learning and development opportunities

Competitive compensation and generous休

Work-from-anywhere flexibility

Growth in predictive AI applications

Résumé du poste

AppIQ Tech is seeking a meticulous QA Engineer / Senior QA Engineer to ensure the quality and reliability of our ML-driven e-commerce funnel optimization and digital advertising platform.

You will define testing strategy for high-performance applications built with TypeScript, React, Node.js, Python, and PySpark, leveraging AWS and Cloudflare edge deployments. Work closely with developers and data scientists to deliver robust, scalable services and accurate real-time dashboards.

Qualifications

• 4+ years of experience in software QA or engineering for scalable web apps.
• Sr. QA Engineer: 7+ years of experience in QA.
• Strong grasp of QA architecture and testing methodologies.
• Proficiency with TypeScript, React, Node.js, Python, and PySpark.

Responsabilités

• Define testing strategy for high-performance apps and microservices.
• Prioritize bugs by risk and impact for rapid yet robust releases.
• Design and scale automated tests with Playwright, Cypress, and Appium.
• Coordinate testing across AWS, Cloudflare, and data pipelines with engineers.

Connaissances

QA architecture

Testing methodologies

TypeScript

React

Node.js

Python

PySpark

AWS

SQL

NoSQL

English communication

Outils

TestRail

Zephyr

Xray

PractiTest

qTest

Playwright

Cypress

Appium

Description du poste

AppIQ Tech is seeking a meticulous QA Engineer / Senior QA Engineer to ensure the quality and reliability of our ML-driven e-commerce funnel optimization and digital advertising platform.

You will define testing strategy for high-performance applications built with TypeScript, React, Node.js, Python, and PySpark, leveraging AWS and Cloudflare edge deployments. Work closely with developers and data scientists to deliver robust, scalable services and accurate real-time dashboards.