QA & Automation Lead

We offer the industry’s only platform that seamlessly integrates customer identity and anti-fraud solutions, including identity management, identity verification, and fraud prevention.

Our solutions serve industries with large consumer-facing businesses, such as banking, financial services, insurance, fintech, gaming, e-commerce/retail, telecommunications/media, and utilities.

About The Group

The Identity Verification group delivers cutting-edge, cross-platform SaaS solutions that help businesses seamlessly verify their users. These solutions leverage advanced AI, machine learning, and computer vision models to enable secure and reliable document-based identity verification.

About The Role

The QA & Automation Lead is responsible for driving the quality assurance strategy within the group, ensuring the delivery of high-quality software products through effective test automation frameworks and best practices.

What You’ll Do

• Define comprehensive test strategies based on system architecture and business requirements.
• Design and implement the overall QA automation strategy and framework architecture.
• Analyze system architecture to identify critical testing areas and potential risks.
• Design end-to-end test scenarios covering multiple system components and integrations.
• Participate in system design reviews to ensure testability.
• Define and maintain automation best practices, coding standards, and test design patterns.
• Evaluate and recommend tools and technologies for test automation.
• Collaborate with development teams to ensure testability and quality throughout the SDLC.
• Drive continuous integration and continuous testing practices.
• Create and maintain automated test metrics and reporting dashboards.
• Partner with product and development leads to define quality gates and release criteria.
  
  

• 5+ years of QA automation experience.
• Excellent communication skills.
• Strong experience with automation frameworks and tools (e.g. Selenium, Cypress, Playwright, TestNG, JUnit).
• Proficiency in at least one programming language (e.g. Java, Python, JavaScript).
• Experience with CI/CD tools (e.g. Jenkins, GitLab CI, GitHub Actions).
• Knowledge of Agile methodologies.
• Strong understanding of distributed systems architecture, microservices, and testing approaches.
• Experience designing test strategies for data science teams.