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.
Fully-Remote (Latin America) | 9 AM – 5 PM EST
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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