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.
Location
Fully-Remote | 9 AM – 5 PM EST
Role Overview
The QA Automation Engineer 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
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Own and extend the Playwright-based end-to-end automation suite.
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Implement AI-powered testing workflows using tools such as Claude and MCP for test generation and auto-fix capabilities.
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Integrate and maintain Jira webhooks for automated Playwright test generation.
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Continuously optimize automated testing performance, reliability, and scalability.
Test Execution & Coverage
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Develop and execute automated testing coverage across payment flows, DMN edge cases, business rules validation, and UI consistency.
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Perform manual scenario testing to validate tenant-specific workflows and logic.
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Support UAT testing and release validation processes.
CI/CD Integration & Pipeline Management
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Integrate automated testing into CI/CD pipelines across staging and UAT environments.
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Maintain and improve quality gates during deployment and release cycles.
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Collaborate closely with engineering teams to ensure smooth testing integration within development workflows.
QA Leadership & Ownership
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Own the end-to-end QA process across the platform.
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Establish QA documentation standards, workflows, and testing best practices.
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Identify and implement improvements to testing processes and automation systems.
Test Data Management
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Manage multi-tenant test data architecture to ensure isolation, integrity, and consistency across environments.
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Maintain accurate test data and isolated test cases throughout CI/CD workflows.
Qualifications
Experience
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2+ years of experience as a QA Engineer, including at least 1 year working with AI-driven testing and Playwright.
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Experience testing SaaS platforms within multi-tenant environments.
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Hands-on experience with AI-powered testing tools such as Claude, MCP, or similar technologies.
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Experience integrating automated testing into CI/CD pipelines, preferably using GitHub Actions.
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Familiarity with Docker, multi-environment deployments, and API testing.
Skills
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Strong expertise in Playwright, JavaScript/TypeScript, Claude, and MCP.
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Familiarity with Jira and the Atlassian ecosystem.
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Strong understanding of automated and manual testing methodologies.
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Knowledge of multi-tenant SaaS testing, database management, and isolated testing environments.
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Excellent analytical, documentation, and troubleshooting abilities.
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Strong communication and collaboration skills with both technical and non-technical stakeholders.
What Success Looks Like
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Fully automated and optimized AI-driven testing workflows using Playwright and Claude.
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High automated test coverage across critical platform functionality.
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Smooth CI/CD integration with strong quality controls and minimal release issues.
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Delivery of a stable, scalable, and well-tested SaaS platform with minimal defects.
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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 QA Automation Engineer 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.
Application Process:
To be considered for this role these steps need to be followed: