AI Agentic AQA Engineer
We're looking for a detail-oriented and innovative AI QA Engineer to become a key guardian of quality for our mission-critical backend systems and intuitive UI interfaces that handle card transactions from initiation through completion. In this role, you won't just execute tests; you'll embed quality deeply into our payment infrastructure and user experience, ensuring reliability, accuracy, and compliance within our high-volume, cloud-native environment.
At Unlimit, QA is a proactive discipline that ensures our systems are robust, secure, and performant under high demands. As an AIQA Engineer in Payment Processing, you will lead in shaping and refining both backend and UI testing processes.
You’ll deeply analyze and understand the logic behind our payment systems, reviewing and refining business and technical requirements. Collaborating closely with developers, product owners, and analysts, you'll ensure requirements are comprehensive and testable, catching potential issues early and setting high-quality standards.
Your core responsibility involves meticulously designing, developing, and executing comprehensive test plans and cases for APIs, microservices, UI components, and complex transaction flows using AI agents. You will establish high-level testing strategies, direct AI agents, and perform thorough functional, integration, regression, UI, and performance testing on our critical payment adapters and user interfaces.
You'll leverage your expertise to build proactive AI Agents designed to monitor API and UI performance. This involves using tools like Postman, Swagger, Fiddler, and Selenium as a foundation for these agents. You will also validate backend logic via SQL and NoSQL databases. You will integrate QA processes seamlessly into our CI/CD pipelines using GitLab CI, Jenkins, and GitHub Actions, with an emphasis on how these AI Agents enhance that integration.
Beyond traditional methods, you'll pioneer AI-driven testing enhancements. You'll evaluate, select, and implement innovative AI-powered QA tools to significantly boost testing productivity and effectiveness.
3+ years of proven experience in backend, API, and UI testing. Experience evaluating or integrating AI-driven QA technologies such as Windsurf, Claude code, n8n, Playwright mcp). Proficiency in scripting or programming languages (Python, Java (mandatory)). Strong expertise in API testing tools (Postman, Swagger, Fiddler). Experience with UI testing automation frameworks (Selenium, Cypress, Playwright). Hands-on experience managing test cases and defects using tools like TestRail, JIRA, and Confluence. Proficiency in observability tools (Splunk, AWS CloudWatch, X-Ray, CloudTrail). Familiarity with CI/CD workflows (GitLab CI, Jenkins). Advanced skills in SQL and NoSQL database querying. Deep understanding of microservices, event-driven architectures, RESTful APIs, and responsive UI design principles. Solid experience in Agile development environments.
Familiarity with Docker, Kubernetes, and performance testing tools (JMeter, k6, Locust). Previous experience in fintech, payment processing, or compliance standards (e.g., PCI DSS).
