AI-Driven QA Engineer for Cloud & API Testing

Trinnex; Reading (Berks County); On-site; USD 90,000 - 149,000; Full time

Job summary

Trinnex is seeking a Quality Engineer to design, develop, and maintain automated tests across APIs, web, and mobile apps, with a focus on performance testing and CI/CD integration.

You will build reusable test utilities, apply AI-assisted tooling, and mentor QA analysts while collaborating with product, dev, and operations teams to improve testing outcomes in a cloud-based environment using GCP, Kubernetes, and Docker.

Qualifications

• Bachelor's Degree is required or equivalent experience.
• Minimum 5 years of relevant QA/testing experience.
• Experience with modern test automation, cloud-based testing, and AI-assisted QA tooling.

Responsibilities

• Designs, develops, and maintains automated test suites across API, web, mobile, and performance testing domains.
• Builds reusable test utilities and frameworks to improve reliability and reduce maintenance.
• Develops mobile test automation including simulator/emulator execution and CI/CD integration.
• Applies AI-assisted tooling to support testing, debugging, and documentation.
• Supports scalable cloud-based load testing using GCP, Kubernetes, and related infrastructure.
• Analyzes requirements, results, defects, logs, and metrics to identify risks and quality improvements.
• Integrates automated tests into CI/CD pipelines with reporting and environment management.
• Establishes QA best practices and provides code reviews and guidance.

Skills

Playwright

Jest

Maestro

Artillery

Node.js

TypeScript

CI/CD

Cloud testing

Education

Bachelor's Degree

5 years of relevant experience

Tools

Google Cloud Platform (GKE)

Kubernetes

Docker

CI/CD pipelines

Job description

Trinnex is seeking a Quality Engineer to design, develop, and maintain automated tests across APIs, web, and mobile apps, with a focus on performance testing and CI/CD integration.

You will build reusable test utilities, apply AI-assisted tooling, and mentor QA analysts while collaborating with product, dev, and operations teams to improve testing outcomes in a cloud-based environment using GCP, Kubernetes, and Docker.