Technical Engineer – QA Automation

Mindteck Singapore Pte Ltd

Hong Kong

On-site

HKD 420,000 - 660,000

Full time

34 hours ago
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Job summary

Mindteck Singapore Pte Ltd seeks a QA professional to design and execute tests across API, integration, and performance domains. You will develop and maintain automated scripts with Selenium, Postman, and JMeter, and support SIT/UAT, defect tracking, and release validation.

Experience with AI/LLMs, cloud platforms, and LMS contexts is valued; you will collaborate with customers, developers, and infrastructure teams to ensure scalable, reliable software delivery.

Qualifications

  • 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.

Responsibilities

  • Design and execute functional, regression, API, integration, performance, and system testing.
  • Develop and maintain automated test scripts and frameworks using 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.

Skills

Test automation
API testing
Performance testing
Defect management
REST APIs
Microservices
Cloud
CI/CD
System integration
AI/ML knowledge
Analytical skills
Documentation
Communication skills

Education

Bachelor’s degree in IT, Computer Science, Software Engineering, or related field

Tools

Selenium
Postman
JMeter

Job description

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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