AI‑Driven QA Engineer: Cloud, Automation & Testing

Trinnex

Grand Forks (ND)

On-site

USD 90,000 - 149,000

Full time

14 days+
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Job summary

CDM Smith is seeking a Quality Engineer to design, develop, and maintain automated testing across APIs, web, mobile, and performance scenarios, with AI-assisted QA and cloud‑based testing. You will mentor junior QA analysts and collaborate across product, development, and operations to improve testing outcomes.

Responsibilities include building reusable test frameworks, integrating tests into CI/CD pipelines, and applying AI‑assisted tooling for debugging and documentation.

Qualifications

  • Bachelor's Degree
  • 5 years of relevant experience
  • Travel may be required; frequency contingent on duties

Responsibilities

  • Designs, develops, and maintains automated test suites for API, web, mobile, and performance testing.
  • Builds reusable test utilities and frameworks to improve reliability and reduce maintenance.
  • Develops mobile test automation including sim/mobile flows and mobile CI/CD integration.
  • Develops and applies AI‑assisted tooling to support testing and debugging tasks.
  • Supports scalable cloud‑based load testing using GKE, Kubernetes, and related infra practices.
  • Integrates automated tests into CI/CD with reporting, parallel execution, and environment management.

Skills

API testing
Web testing
Mobile testing
CI/CD
AI‑assisted tooling
Debugging
Communication
Mentoring

Education

Bachelor's Degree

Tools

Playwright
Maestro
Node.js
TypeScript
Jest
Artillery
GKE
Kubernetes
Docker
CI/CD

Job description

CDM Smith is seeking a Quality Engineer to design, develop, and maintain automated testing across APIs, web, mobile, and performance scenarios, with AI-assisted QA and cloud‑based testing. You will mentor junior QA analysts and collaborate across product, development, and operations to improve testing outcomes.

Responsibilities include building reusable test frameworks, integrating tests into CI/CD pipelines, and applying AI‑assisted tooling for debugging and documentation.

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