Senior Quality Assurance Automation Specialist

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 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 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 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