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.
Work Mode
This role offers work-from-anywhere flexibility for globally distributed teams.
