M
Mindteck Singapore Pte Ltd
Technical Engineer – QA Automation
Skills
Google Cloud PlatformTesting & QAMicroservicesPostmanSeleniumMachine LearningAIAWSJiraITILServiceNowComplianceAzure
1 month ago
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Important information
Contract type:
Freelance / Contract
Work mode:
Onsite
Published on:
23 September 2026
What they need
Key Responsibilities
- Design and execute functional, regression, API, integration, performance, and system testing.
- Develop and maintain automated test scripts and frameworks using tools such as Selenium, Postman, and JMeter.
- Perform SIT/UAT support, defect tracking, root-cause analysis, and release validation.
- Conduct performance, reliability, and scalability testing.
- Support solution architecture, technical design, API integration, and system reviews.
- Test and evaluate AI-enabled features including GenAI/LLMs, chatbots, recommendations, intelligent search, and personalised learning.
- Review technical risks, integrations, security, and architecture compliance.
- Troubleshoot application, API, database, infrastructure, and integration issues.
- Maintain test documentation, architecture diagrams, technical reports, and QA metrics.
- Collaborate with customers, developers, infrastructure teams, vendors, and project teams.
Requirements
- Bachelor’s degree in IT, Computer Science, Software Engineering, or related field.
- 3–5 years of experience in QA, test automation, software engineering, system integration, or solution architecture.
- Hands-on experience with test automation, API testing, performance testing, and defect management.
- Experience with enterprise, cloud, or LMS/digital learning platforms.
- Knowledge of solution architecture, REST APIs, microservices, cloud, CI/CD, and system integration.
- Practical knowledge of AI/ML, Generative AI, LLMs, and AI-enabled applications.
- Strong analytical, troubleshooting, documentation, and communication skills.
Mandatory Certifications
- ITIL Foundation or equivalent.
- Relevant AI certification (e.g. AI-900, AWS AI Practitioner, or equivalent) or demonstrated practical AI experience.
Preferred
- ISTQB certification.
- Azure/AWS/GCP certifications.
- PMP, PRINCE2, Agile, or Scrum.
- Experience with LMS/LXP, EdTech, public sector, or large-scale digital platforms.
- Familiarity with ServiceNow, Jira, DevOps, CI/CD, API management, and cloud-native technologies
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