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# QA Automation Engineer job

- **Company:** System Soft
- **Location:** Farmington Hills, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Testing, Automation of Tests, Cloud Computing, Software Quality, Databases, Continuous Integration, Data Integration, Data Mining, Github, Python (Programming Language), Selenium, SQL Databases, Web Applications, Scripting, Postman, Cypress (Programming Language), Backend, Integration Tests, Playwright, Restful APIs, Api Management
- **Published:** November 12, 2026
- **Apply:** https://jobs.diversity.com/career/2564991/qa-automation-engineer

## About the Role

* 8+ years of experience in QA Automation / Software Quality Engineering.
 * Strong hands-on experience with Playwright, Selenium, or Cypress.
 * Automation scripting experience in Python, Java, or JavaScript.
 * Postman and REST API testing.
 * SQL and database validation.
 * Git/GitHub, CI/CD, AWS, and integration testing.
 * Experience testing web applications, APIs, and cloud-based solutions.

Good to Have

 * AI/GenAI application testing and validation.
 * Experience testing document processing and AI-enabled workflows.

## Description

Hiring manager Spotlight call intake - Python, UI/API Automation, SQL, Java, JavaScript, CI/CD, AI Response Validation, We are looking for an experienced QA Automation Engineer to support an AWS-based, AI-enabled Wealth & Asset Management platform. The candidate will be responsible for test automation, API testing, database validation, integration testing, and validating AI-enabled application capabilities., * Develop and maintain automated test frameworks using Playwright, Selenium, or Cypress.

 * Perform functional, integration, regression, end-to-end, and API testing.
 * Develop automation scripts using Python, Java, or JavaScript.
 * Perform REST API testing using Postman and validate databases using SQL.
 * Test web applications, backend services, data integrations, and AWS-based workflows.
 * Validate document processing, data extraction, and downstream workflows.
 * Perform AI/GenAI testing, including output accuracy, consistency, traceability, and error handling.
 * Integrate automated test scripts into CI/CD pipelines.
 * Identify, track, and resolve defects in collaboration with development and engineering teams.