Quality Engineer: AI‑Powered Test Automation & Cloud QA

Trinnex

Rock Hill (SC)

On-site

USD 90,000 - 149,000

Full time

14 days+
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Job summary

CDM Smith Inc. is seeking a Quality Engineer in the United States to design, implement, and maintain automated testing across APIs, web, mobile, and performance scenarios. The role emphasizes AI-assisted testing, CI/CD integration, and mentoring junior QA analysts.

Work involves cloud-based testing on Google Cloud Platform with Kubernetes, plus cross‑functional collaboration to improve testing outcomes and overall quality. Travel may be required based on project needs and location.

Qualifications

  • Bachelor's degree required; 5+ years of relevant QA/testing experience preferred.
  • Equivalent additional directly related experience will be considered in lieu of a college degree.
  • Domestic and/or international travel may be required depending on workload.

Responsibilities

  • Designs, develops, and maintains automated test suites for API, web, mobile, and performance tests.
  • Builds reusable test utilities and frameworks to improve reliability and reduce maintenance.
  • Develops mobile test automation including simulator/emulator management and mobile CI/CD integration.
  • Applies AI‑assisted tooling to support testing, debugging, and documentation.
  • Supports scalable cloud‑based load testing using Google Cloud Platform and Kubernetes.
  • Analyzes tests, defects, logs, and performance metrics to identify risk and improve quality.
  • Integrates automated tests into CI/CD with reporting, parallel execution, and environment management.
  • Establishes QA best practices, coding standards, and troubleshooting guidance.

Skills

Test automation
CI/CD
Cloud testing
Communication
Mentoring

Education

Bachelor's Degree

Tools

Playwright
Jest
Maestro
Artillery
Node.js
TypeScript
GKE
Kubernetes
Docker

Job description

CDM Smith Inc. is seeking a Quality Engineer in the United States to design, implement, and maintain automated testing across APIs, web, mobile, and performance scenarios. The role emphasizes AI-assisted testing, CI/CD integration, and mentoring junior QA analysts.

Work involves cloud-based testing on Google Cloud Platform with Kubernetes, plus cross‑functional collaboration to improve testing outcomes and overall quality. Travel may be required based on project needs and location.

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