AI-Driven QA Engineer for Cloud & API Automation

Trinnex

Independence (MO)

On-site

USD 90,000 - 149,000

Full time

14 days+
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Job summary

Trinnex is seeking a Quality Engineer with strong experience in modern test automation, cloud-based testing, and AI-assisted quality engineering. This role designs, develops, and maintains automated testing across APIs, web, mobile, and performance scenarios, and mentors QA team members.

The position emphasizes CI/CD integration, test reliability, and cross-functional collaboration with developers, product, and operations to improve testing outcomes in a water-tech environment.

Qualifications

  • Bachelors Degree and 5 years of relevant experience.
  • Experience with API, web, mobile, and load testing.
  • Experience with CI/CD and cloud-based QA.

Responsibilities

  • Designs, develops, and maintains automated test suites across API, web, mobile, and performance testing.
  • Builds reusable test utilities and frameworks to improve reliability and reduce maintenance.
  • Develops mobile test automation including simulators/emulators and mobile CI/CD.
  • Applies AI-assisted tooling to support testing and debug processes.
  • Supports scalable cloud-based load testing using GCP, Kubernetes, and related infra.
  • Integrates tests into CI/CD with reporting, parallel execution, and environment management.

Skills

Playwright
Jest
Maestro
Artillery
Node.js
TypeScript
JavaScript
Mobile testing
Google Cloud Platform
Kubernetes
Docker
AI-assisted tooling

Education

Bachelor's Degree

Tools

Docker
Kubernetes
Google Cloud Platform

Job description

Trinnex is seeking a Quality Engineer with strong experience in modern test automation, cloud-based testing, and AI-assisted quality engineering. This role designs, develops, and maintains automated testing across APIs, web, mobile, and performance scenarios, and mentors QA team members.

The position emphasizes CI/CD integration, test reliability, and cross-functional collaboration with developers, product, and operations to improve testing outcomes in a water-tech environment.

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