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QA Automation Engineer IV
Farmington Hills, Michigan, United States · On-site · contract · Information Technology
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About the role
Test AutomationQuality AssuranceREST APIsPythonJavaScriptJavaSQLAWSCI/CDCybersecurity
Position Overview
We are seeking an experienced QA Automation Engineer IV / Senior QA Engineer to ensure the quality, reliability, security, and functional accuracy of enterprise Wealth & Asset Management applications.
The ideal candidate will have strong experience in software quality engineering, test automation, API testing, database validation, and cloud-based application testing.
This role involves both manual and automated testing across web applications, APIs, data integrations, document processing, and AI-enabled capabilities. The successful candidate will collaborate with cross-functional teams to develop and maintain robust testing strategies and deliver high-quality enterprise solutions.
Location: Farmington Hills, MI
Work Arrangement: Onsite – 4 days per week
Experience Required: 8–10+ Years
Preference: Local candidates strongly preferred
Key Responsibilities
- Develop comprehensive test plans, scenarios, test cases, and test data.
- Perform functional, integration, regression, end-to-end, and API testing.
- Design, develop, and maintain automated testing frameworks using Playwright, Selenium, or Cypress.
- Validate frontend applications, backend APIs, databases, integrations, and AWS-based workflows.
- Perform REST API testing using Postman and automated testing frameworks.
- Validate database transactions and data transformations using SQL.
- Test document ingestion, extraction, processing, and downstream workflows.
- Validate AI-enabled capabilities for output accuracy, consistency, traceability, and appropriate error handling.
- Perform positive, negative, boundary, exception, and failure-scenario testing.
- Validate authentication, authorization, role-based access, and application security controls.
- Develop automated tests using Python, Java, or JavaScript.
- Integrate automated testing into CI/CD pipelines.
- Manage defect identification, triage, retesting, and regression validation.
- Collaborate with application, AI, data, DevOps, architecture, cybersecurity, and product teams.