Description
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.
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.
Integral Collaboration
: Ability to work effectively with globally distributed teams.
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
.
Prior experience in the
e-commerce
or
Ad Tech
ecosystems (Media Buying, DSPs, Conversion Optimisation).
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.

📌 Qa Engineer / Sr. Qa Engineer - Machine Learning Platform For E-Commerce (México)
🏢 AppIQ Tech
📍 México