Senior QA Engineer – AI-Augmented Automation

📍 The Senior QA Engineer – AI-Augmented Automation will own and expand the company’s AI-driven testing framework while leading both automated and manual QA efforts across a multi-tenant SaaS platform. This role focuses on Playwright automation, AI-powered testing workflows, CI/CD integration, and overall QA process ownership to ensure high-quality product delivery and platform stability. ✅ Key Responsibilities: AI-Augmented Testing Platform: - Own and extend the Playwright-based end-to-end automation suite. - Implement AI-powered testing workflows using tools such as Claude and MCP for test generation and auto-fix capabilities. - Integrate and maintain Jira webhooks for automated Playwright test generation. - Continuously optimize automated testing performance, reliability, and scalability. Test Execution & Coverage: - Develop and execute automated testing coverage across payment flows, DMN edge cases, business rules validation, and UI consistency. - Perform manual scenario testing to validate tenant-specific workflows and logic. - Support UAT testing and release validation processes. CI/CD Integration & Pipeline Management: - Integrate automated testing into CI/CD pipelines across staging and UAT environments. - Maintain and improve quality gates during deployment and release cycles. - Collaborate closely with engineering teams to ensure smooth testing integration within development workflows. QA Leadership & Ownership: - Own the end-to-end QA process across the platform. - Establish QA documentation standards, workflows, and testing best practices. - Identify and implement improvements to testing processes and automation systems. Test Data Management: - Manage multi-tenant test data architecture to ensure isolation, integrity, and consistency across environments. - Maintain accurate test data and isolated test cases throughout CI/CD workflows.

💼 Experience: - 2+ years of experience as a QA Engineer, including at least 1 year working with AI-driven testing and Playwright. - Experience testing SaaS platforms within multi-tenant environments. - Hands-on experience with AI-powered testing tools such as Claude, MCP, or similar technologies. - Experience integrating automated testing into CI/CD pipelines, preferably using GitHub Actions. - Familiarity with Docker, multi-environment deployments, and API testing. ⚙️ Skills: - Strong expertise in Playwright, JavaScript/TypeScript, Claude, and MCP. - Familiarity with Jira and the Atlassian ecosystem. - Strong understanding of automated and manual testing methodologies. - Knowledge of multi-tenant SaaS testing, database management, and isolated testing environments. - Excellent analytical, documentation, and troubleshooting abilities. - Strong communication and collaboration skills with both technical and non-technical stakeholders. 💡 What Success Looks Like: - Fully automated and optimized AI-driven testing workflows using Playwright and Claude. - High automated test coverage across critical platform functionality. - Smooth CI/CD integration with strong quality controls and minimal release issues. - Delivery of a stable, scalable, and well-tested SaaS platform with minimal defects. - Clear QA processes, documentation standards, and ownership across the engineering organization. 🏆 Opportunity: This is an exciting opportunity to play a key leadership role within a growing fintech company focused on AI-powered SaaS solutions. The Senior QA Engineer – AI-Augmented Automation will have the opportunity to shape the company’s long-term QA strategy, own critical testing infrastructure, and contribute directly to platform scalability, stability, and product quality.