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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