- Salary
- $45 – $50
- Location
- Farmington Hills, Michigan, United States
- Workplace
- Onsite
- Type
- Contract
- Department
- Information Technology
- Seniority
- Senior
- Experience
- 8+ years
- Source
- Recruitee
Description
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.