QA Engineer

IDC TECHNOLOGIES (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

IDC Technologies (Singapore) Pte. Ltd. is seeking an experienced Quality Assurance professional to design, develop, and execute test plans for AI-powered applications.

You will perform functional, integration, system, regression, and UAT testing across complex workflows and integrated systems in a fast-paced environment. You will validate model upgrades, participate in release readiness, and ensure test evidence and documentation meet audit standards, while collaborating with Group Operations

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 6-9 years of software quality assurance, testing, or quality engineering.
• Experience supporting enterprise applications, AI/ML solutions, or digital platforms is preferred.
• Experience in banking, financial services, or operations environments is advantageous.

Responsibilities

• Design, develop, and execute test plans and scripts for AI-powered apps.
• Perform functional, integration, system, regression, and UAT testing.
• Validate end-to-end workflows across AI apps, APIs, and systems.
• Identify, document, track, and verify defect resolutions.
• Support model upgrades testing and validation.
• Participate in release readiness reviews and post-release verification.
• Maintain test evidence and documentation for audit purposes.

Skills

QA Experience

API testing

Test automation

CI/CD

GenAI knowledge

Education

Bachelor's degree in CS/IT/Engineering

Tools

Postman

Swagger

Selenium

Playwright

Job description

Key Responsibilities:

• Quality Assurance & Testing


• Design, develop, and execute test plans, test cases, and test scripts for AI-powered applications and services.


• Perform functional, integration, system, regression, and user acceptance testing (UAT) support.


• Validate end-to-end workflows across AI applications, APIs, and integrated systems.


• Identify, document, track, and verify resolution of defects and issues.


• This role is for one of our project requirements


• Model Upgrade Validation


• Support testing and validation activities during AI model upgrades.


• Conduct model output comparisons and regression testing to assess the impact of model changes


• Validate model performance against predefined quality metrics such as accuracy, relevance, consistency, and completeness.


• Technology Upgrade & Release Support


• Support testing for AI models during infrastructure, platform, security, and technology upgrades.


• Validate system stability following upgrades to application frameworks, libraries, APIs, and supporting technologies.


• Participate in release readiness reviews, production deployment validation, and post-release verification.


• Ensure appropriate test evidence and documentation are maintained for audit and governance purposes


• Operational Support


• Support production incident investigations related to model or technology changes.


• Assist with root cause analysis and validation of fixes.


• Monitor service quality trends and provide recommendations for quality improvements.


• Work closely with Group Operations and Technology teams to ensure service reliability and business continuity.

Requirements:

Education & Experience

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.


• 6-9 years of experience in software quality assurance, testing, or quality engineering.


• Experience supporting enterprise applications, AI/ML solutions, or digital platforms is preferred.


• Experience in banking, financial services, or operations environments is advantageous.

Technical Skills

• Strong understanding of software testing methodologies and SDLC/STLC processes.


• Experience with API testing tools such as Postman, Swagger, or equivalent.


• Familiarity with SQL and data validation techniques.


• Knowledge of test automation frameworks and scripting languages (e.g., Python, Selenium, Playwright).


• Understanding of CI/CD pipelines and DevOps practices.


• Familiarity with AI/ML or GenAI concepts, model testing, and prompt validation.


• Exposure to monitoring, logging, and observability tools is a plus.