Test Automation Engineer - Python + AI

Project Description:

As a Senior QA Engineer, you’ll lead the testing strategy for your pod, ensuring reliable, scalable, and high-performing integration solutions. You’ll drive test automation, leverage AI-assisted testing tools to improve efficiency and coverage, and coach mid-level QAs on modern quality engineering practices.

Responsibilities:

• Define and implement test strategies and plans for REST APIs and integration workflows
• Build, maintain, and enhance automated test frameworks for functional and regression testing
• Work closely with developers and BAs to ensure quality across Agile sprints
• Coach mid-level QAs on automation, AI-assisted testing, and best practices
• Lead defect triage, root cause analysis, and risk-based testing efforts
• Integrate automated tests into CI/CD pipelines to support continuous testing
• Leverage AI-assisted tools to accelerate test creation, debugging, and test data generation
• Promote adoption of AI-driven quality engineering practices within the team

Mandatory Skills Description:

• 8+ years of QA experience, including strong automation expertise
• Experience in financial services or with Loan IQ integrations preferred

Test Automation & Tools:

• Proficient in API testing using Postman, RestAssured, or SoapUI
• Hands-on experience with automation tools (e.g., Selenium, Cucumber, TestNG)
• Strong understanding of integration testing, regression testing, and performance validation
• Python Skill set for automation testing

DevOps & Integration:

• Familiar with CI/CD tools (e.g., Jenkins, GitLab) and integrating automated tests into pipelines
• Experience working in Agile environments and collaborating across pods

AI-Assisted Testing:

• Experience with AI-assisted testing tools and frameworks for test case generation and optimization
• Familiarity with using generative AI for:

o Automated test case creation

o Test script generation (UI and API)

o Debugging and defect analysis

o Test data generation and synthetic data creation

• Understanding of intelligent test selection, self-healing test automation, and predictive defect detection
• Ability to apply AI tools responsibly to improve test coverage, speed, and quality while maintaining governance standards

Nice-to-Have Skills Description:

• AI tools