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Senior QA Test Analyst

  • Full Time, onsite
  • YTL Sea Digital Bank Project
  • Kuala Lumpur City Centre, Malaysia
Salary undisclosed

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Key Responsibilities:

  • Automation Testing: Develop, maintain, and execute automated test scripts using modern test automation frameworks (e.g., Selenium, JMeter, Postman, etc.).
  • Manual Testing: Perform manual testing for new features, bug fixes, and non-automated areas. Write detailed test cases and execute tests, ensuring alignment with functional requirements.
  • AI Testing: Implement and validate AI models and algorithms as part of the testing process. Develop strategies for testing AI-based solutions for functionality, performance, and data integrity.
  • Cloud & DevOps Integration: Work within cloud environments (AWS, Azure, Google Cloud, Alibaba cloud) and integrate testing workflows into CI/CD pipelines. Collaborate with DevOps engineers to automate testing within the continuous integration and deployment process.
  • Test Planning & Execution: Define and manage test strategies, plans, and cases across multiple teams and projects. Ensure high-quality deliverables through effective test design, execution, and reporting.
  • Defect Tracking & Reporting: Identify, log, and track defects in bug tracking systems (e.g., JIRA). Provide clear and actionable insights to development teams.
  • Mentoring & Leadership: Mentor junior testers and contribute to the team’s development through knowledge sharing, technical leadership, and best practices in testing.
  • Collaboration: Engage with product managers, developers, and other stakeholders to understand requirements, align testing strategies, and resolve issues.

Required Skills and Qualifications:

  • Experience in Automation Testing: Strong proficiency with automation tools (e.g., Selenium, Appium, Cucumber, etc.) and scripting languages (e.g., Java, Python, JavaScript).
  • Manual Testing Expertise: Thorough understanding of manual testing processes and the ability to identify critical test cases.
  • AI Testing Knowledge: Familiarity with AI/ML testing frameworks, validation of AI algorithms, and handling AI-driven test scenarios.
  • Cloud Technologies: Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and how they integrate into test environments.
  • DevOps Knowledge: Understanding of CI/CD pipelines and how testing integrates into the software delivery lifecycle.
  • Analytical & Problem-Solving Skills: Strong ability to troubleshoot, debug, and analyze complex issues.
  • Experience with Testing Tools: Familiarity with test management and bug tracking tools like JIRA, Confluence, or Zephyr.
  • Collaboration and Communication: Excellent communication skills and experience collaborating in agile teams (Scrum, Kanban).
  • Certifications: ISTQB or other relevant testing certifications are a plus.

Preferred Qualifications:

  • Strong understanding and hands-on experience on common Quality Assurance/ Testing tools and platforms including Test Automation Tools, Performance Testing Tools, (CI/CD) Tools, Bug Tracking and Project Management Tools, Test Management Tools, Security Testing Tools, Collaboration and Documentation Tools, AI and Machine Learning Tools.
  • Familiarity with containerization (Docker, Kubernetes).
  • Knowledge of AI model validation and ethical AI testing.
JR00000219