QA & Automation Lead

We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
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
What you’ll need:
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.
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