AppIQ Tech is looking for a QA Engineer or Sr. QA Engineer to ensure the quality and reliability of our Machine-Learning-driven e-commerce and digital advertising platform. You will define the testing strategy for high-performance applications, balancing rapid feature deployment with thorough testing.

What You'll Do

Develop and maintain a comprehensive QA architecture that supports full-stack applications and complex microservices.
Prioritise bug fixes based on risk of failure and potential impact.
Utilise test case management systems to organise test cases, track execution, and provide transparent reporting.
Design, implement, and scale automated test suites using tools such as Playwright, Cypress, and Appium.
Perform rigorous unit and integration tests on applications built with TypeScript, React, Node.js, Python, and PySpark.
Verify the reliability of deployments across AWS (EC2, S3, Firehose) and Cloudflare edge environments.
Collaborate with Data Engineers to validate the accuracy of complex event data and real-time reporting dashboards.
Work closely with developers and data scientists to ensure a seamless end-user experience.

What We're Looking For

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 the tech stack used by our engineers, specifically TypeScript, React, Node.js, Python, and PySpark.
Familiarity with AWS services and both SQL and NoSQL (e.g., MongoDB) databases to effectively test data persistence and performance.
Ability to work effectively with globally distributed teams.

Nice to Have

Understanding of Machine Learning (Supervised/Reinforcement Learning), Predictive AI, and the validation of Data Pipelines.
Proficiency in Python or experience with PySpark.
Prior experience in the e-commerce or Ad Tech ecosystem (DSPs, Audience Data, Fraud detection).

Technical Stack

Languages: TypeScript, Python
Frameworks: React, Node.js, PySpark
Cloud Infrastructure: AWS (EC2, S3, Firehose), Cloudflare
Databases: MongoDB
Testing Tools: Playwright, Cypress, Appium

Team & Environment

You will be a key member of a fast-paced startup team.

Benefits & Compensation

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.
Genuine learning, training and development opportunities, supported by regular performance reviews.
Competitive compensation and generous paid time off.
Work-from-anywhere flexibility.
Opportunities to develop expertise in building predictive AI applications.