AI-Driven Quality Engineer - Cloud & API Test Automation

Trinnex; Chelmsford (MA); On-site; USD 90,000 - 149,000; Full time

Job summary

CDM Smith Inc. is seeking a Quality Engineer to design and maintain automated tests across APIs, web, and mobile applications, including performance scenarios. The role emphasizes AI-assisted tooling, CI/CD integration, and mentoring a QA team within a cloud-focused environment.

The candidate will drive scalable tests on Google Cloud Platform, Kubernetes, and related infrastructure, while shaping QA best practices and maintainable automation frameworks.

Qualifications

• Bachelor's degree or equivalent experience in a related field.
• Minimum 5 years of relevant Quality Engineering experience.
• Domestic and/or international travel may be required.

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 Google Cloud Platform, Kubernetes, and related infra.
• Analyzes results, defects, logs, and metrics to identify risks and opportunities for quality improvement.
• Integrates automated tests into CI/CD pipelines with reporting, parallel execution, and environment management.
• Establishes QA best practices, coding standards, and troubleshooting guidance for automation and cloud testing.
• Reviews pull requests and mentors junior QA analysts to improve testing outcomes.

Skills

Playwright

Maestro

Node.js

TypeScript

JavaScript

GKE

Kubernetes

Docker

CI/CD

AI-assisted tooling

Education

Bachelor's Degree

Tools

Playwright

Maestro

Kubernetes

GKE

Docker

CI/CD pipelines

AI tooling

Job description

CDM Smith Inc. is seeking a Quality Engineer to design and maintain automated tests across APIs, web, and mobile applications, including performance scenarios. The role emphasizes AI-assisted tooling, CI/CD integration, and mentoring a QA team within a cloud-focused environment.

The candidate will drive scalable tests on Google Cloud Platform, Kubernetes, and related infrastructure, while shaping QA best practices and maintainable automation frameworks.