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Technical Engineer – QA Automation

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Onsite

Technical Engineer – QA Automation

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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