Senior QA Engineer – AI-Augmented Automation at Scale Army

Job description

This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone. Our client is a fast-growing fintech company focused on building AI-driven SaaS solutions for small businesses. Their platform supports business optimization and financial services through scalable multi-tenant technology, and they are expanding their QA engineering team to strengthen automation, testing infrastructure, and platform reliability. LocationFully-Remote (Latin America) | 9 AM – 5 PM EST Role OverviewThe 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 ResponsibilitiesAI-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. QualificationsExperience• 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. OpportunityThis is an exciting opportunity to play a key leadership role within a g