Quality Assurance (QA) Engineer

Job Summary

We are seeking a highly skilled and detail-oriented QA Engineer to join our Intelligent Data-Driven Decisioning (IDD) unit within Kifiya’s Intelligent Financial Infrastructure. The QA Engineer will be responsible for validating the quality and robustness of AI-powered financial platforms that drive credit scoring, insurance onboarding, digital payments, and last-mile financial services. You will develop comprehensive testing strategies—including automation, performance, and security testing—and leverage AI-driven tools to enhance testing workflows, data quality, and system reliability.

Key Responsibilities

Test Strategy & Execution

• Design, document, and execute test plans, test cases, and automated scripts tailored to intelligent financial products.
• Define and track quality KPIs such as test coverage, defect leakage, and release readiness.

Automation & CI/CD

• Develop, maintain, and enhance automated test suites for APIs, microservices, and UIs using tools like Selenium, Cypress, or PyTest.
• Integrate automated testing into CI/CD pipelines using GitHub Actions, GitLab CI/CD, and related tools.

AI-Driven QA

• Use AI-based test generation, anomaly detection, and test data synthesis tools to improve QA efficiency.
• Validate AI/ML model performance and data pipeline integrity through statistical testing and model evaluation criteria.

Functional & Non-Functional Testing

• Perform regression, performance, security, usability, and accessibility testing across web, mobile, and API layers.
• Validate system behavior under load and ensure compliance with latency and uptime SLAs.

Test Environment & Data Management

• Set up and manage test environments including mocks, stubs, and test data pipelines.
• Ensure test data privacy, masking, and compliance with regulatory standards (e.g., GDPR, NBE).

Security & Compliance Validation

• Conduct vulnerability scans, penetration testing, and secure code reviews.
• Ensure systems meet compliance standards for fintech (PCI-DSS, ISO 27001, etc.).

Collaboration & Reporting

• Collaborate with developers, DevOps, and data science teams in Agile squads.
• Use Jira, TestRail, Confluence, and Git to document, track, and report test results and issues.

Education

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.

Experience

• 3+ years of QA experience in fast-paced, Agile product environments.
• Proven experience in manual and automated testing of distributed systems, RESTful APIs, and cloud-based applications.
• Experience in the financial technology domain or with decisioning systems is a strong plus.

Technical Skills

• Proficiency in test automation tools (e.g., Selenium, Cypress, PyTest, Appium).
• Strong knowledge of testing APIs, microservices, and database validation (SQL, NoSQL).
• Familiarity with performance and security testing tools (e.g., JMeter, OWASP ZAP, Burp Suite).
• Experience with Git, Docker, Postman, TestRail, and CI/CD tools (GitHub Actions, GitLab CI).
• Basic understanding of ML model validation or AI QA practices is a plus.

Soft Skills

• Strong analytical thinking, attention to detail, and problem-solving skills.
• Effective communication and collaboration with cross-functional teams.
• Ability to thrive in a fast-paced, mission-driven environment.

Preferred Qualifications

• Experience testing financial products such as credit scoring systems, loan workflows, or embedded finance tools.
• Familiarity with regulatory testing and secure financial data handling.
• Exposure to AI model quality assurance or fairness testing practices.
• Certification in QA or test automation (e.g., ISTQB, Selenium Certified Tester).