Quality Assurance - Lead

About the role

Lead quality engineering for complex banking applications, covering SIT and UAT, backend validation, integrations, defect management, and audit-ready reporting. Build Playwright automation frameworks and introduce AI-assisted testing workflows while mentoring teams and collaborating with developers, business stakeholders, and test teams in a regulated environment.

Responsibilities

• Define risk-based SIT and UAT coverage from requirements and solution design documents.
• Design, execute, and document traceable test cases, defects, results, and retesting outcomes.
• Validate backend processing, integrations, data flows, and SQL-based reconciliations across critical systems.
• Lead defect triage, root-cause analysis, resolution tracking, retesting, risk escalation, and status reporting.
• Track testing metrics including coverage, execution time, and defect leakage.
• Collaborate with developers, business stakeholders, and test teams throughout the delivery lifecycle.

Automation and AI Testing

• Design and implement Playwright frameworks for user interface, API, and end-to-end testing.
• Build scalable test harnesses with reusable components, fixtures, and test-data setup.
• Develop AI-assisted workflows for test generation, script creation, failure analysis, and output evaluation.
• Use parallel execution, isolation, traces, screenshots, logs, and video capture to improve testing.
• Use Copilot CLI workflows to manage test suites, analyze failures, and investigate flaky tests.
• Mentor team members on automation best practices and AI-driven testing techniques.

Required Experience and Skills

• Eight to thirteen years of quality engineering or test automation experience for complex enterprise applications.
• Hands-on experience with Playwright or similar modern automation frameworks and framework development.
• Strong understanding of UI testing, API testing, STLC, testing methodologies, and control validation.
• Strong SQL, ETL, backend testing, data reconciliation, and relational database experience.
• Experience working with developers and business teams, with strong problem-solving and attention-to-detail skills.
• Experience with Jira, ALM, reporting tools, CI/CD tools, Jenkins, and Git.

Education and Preferred Qualifications

• Bachelor’s degree in computer science, information systems, engineering, or a related discipline is required.
• A master’s degree and advanced certifications in testing, quality assurance, delivery, or technology are preferred.
• Knowledge of Oracle, SQL Server, and PostgreSQL relational databases is required.
• Domain experience in AML, sanctions compliance, credit risk, or financial operations is strongly preferred.
• JavaScript or TypeScript experience is preferred; Java or Python experience is optional.
• Experience with GitHub Copilot, AI-assisted testing, Tableau, Power BI, Xray, Zephyr, or ALM is relevant.