Quality Assurance Automation Engineer

We are seeking an experienced AI-Enabled Payments Test Automation Engineer to join a high-performing payments technology team. The successful candidate will be responsible for designing, developing, and executing automated test solutions across complex payment platforms while leveraging AI-driven testing practices to improve quality, efficiency, and release confidence.

Key Responsibilities

• Understand platform architecture and design comprehensive test strategies and test cases.
• Develop, maintain, and execute automated test scripts for both frontend and backend applications.
• Build AI-assisted test automation solutions to improve test coverage, defect prediction, and execution efficiency.
• Collaborate with development teams to establish testing standards, quality gates, and best practices.
• Create and execute complex test scenarios using BDD frameworks such as Cucumber .
• Participate in SIT and UAT phases while coordinating with distributed global teams.
• Act as the primary point of contact during release validation and sign-off activities.
• Identify, analyse, track, and support the resolution of defects throughout the software development lifecycle.
• Validate payment processing workflows including inbound and outbound payment transactions.
• Ensure compliance with banking and payment industry standards and messaging formats.

Required Skills & Experience

Technical Skills

• Strong experience with Test Automation Frameworks including:
• Selenium
• Cucumber
• Canary (or equivalent automation tools)
• Experience working with Spring / Spring Boot applications (preferred).
• Strong understanding of application, data, and infrastructure architecture.
• Experience testing APIs, web applications, and enterprise payment systems.
• Knowledge of AI-powered testing tools and automation accelerators.
• Familiarity with CI/CD pipelines and automated testing integration.

Soft Skills

• Excellent analytical and problem-solving abilities.
• Strong stakeholder management and communication skills.
• Ability to work effectively within large, collaborative teams.
• Passion for innovation, quality engineering, and continuous improvement.
• Strong understanding of software development lifecycle and Agile delivery methodologies.

Qualifications

• Bachelor's Degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• Relevant certifications in Testing, Automation, Agile, or Payments are desirable.

Preferred Skills

• AI-driven testing and quality engineering tools.
• Experience with cloud-based testing environments.