Job Description

• Lead the design, development, and execution of automated and manual test cases.
• Create and maintain comprehensive testing artifacts, including test plans, test cases, test scripts, and test data.
• Advocate for shift-left testing practices by engaging early in the development life cycle to prevent defects.
• Collaborate with product managers, developers, and business analysts to understand requirements and translate them into test strategies.
• Drive continuous improvement in QA processes, tools, and methodologies.
• Mentor and guide junior QA engineers, fostering a culture of quality and accountability.
• Manage defect tracking and resolution processes, ensuring timely delivery of fixes.
• Participate in code reviews and contribute to best practices in testing and automation.
• Ensure test coverage for functional, regression, integration, and performance, and security (e.g., vulnerability scanning) testing.
• Leverage AI and machine learning tools for intelligent test case generation, optimization, and predictive defect analysis.
• Test applications in cloud environments (e.g., AWS, Azure) and containerized setups (e.g., Docker, Kubernetes).
• Analyze test metrics and use analytics tools to drive data-informed improvements in quality processes.
• Work collaboratively with complex multi-disciplinary teams across all functions of the organization to ensure successful product development and launch.
• Validate releases, bug fixes, etc. in production environments using monitoring tools.
• Perform other duties as assigned.

Education and Experience

• 5+ years of experience in Quality Assurance, with at least 2 years in a lead or senior role, preferably in fintech or SaaS environments.
• Proven experience with test automation tools (e.g., Qualitia, Selenium, Cypress, Playwright, TestNG, JUnit) or AI-based tools like Mabl or Test.ai.
• Strong scripting skills in languages such as Python, JavaScript, TypeScript or Java.
• Hands-on experience with manual testing and exploratory testing techniques.
• Experience with CI/CD pipelines and tools like GitHub Actions or Azure DevOps, as well as infrastructure-as-code tools like Terraform or Jenkins.
• Familiarity with commercial lending origination software is a strong plus.
• Excellent analytical, problem-solving, and communication skills.
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Ability to think strategically and creatively: analyze, synthesize, recommend and take action.
• Takes initiative with a clear business purpose in mind.
• Must be able to work successfully under pressure and effectively manage time and workload.

• Experience with behavior-driven development (BDD) frameworks like Cucumber or SpecFlow.
• Familiarity with low-code/no-code testing platforms (e.g., TestProject, Leapwork).
• Knowledge of performance testing tools (e.g., JMeter, Gatling) and chaos engineering.
• Experience with version control branching strategies and code quality tools (e.g., SonarQube).
• Experience with API testing tools (e.g., Postman, RestAssured).
• Knowledge of SQL and database testing.
• Exposure to Agile/Scrum methodologies.
• ISTQB, CSTE, or AI-specific QA certifications