Own the quality engineering framework, including automation tooling, test architecture, CI/CD integration, reporting, and quality gates.
Identify opportunities to leverage AI and intelligent tooling to optimise test coverage, improve root cause analysis, support risk-based testing, and reduce manual effort.
Drive release confidence through measurable quality indicators, including defect leakage, automation coverage, flaky test reduction, execution stability, and production incident trends.
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Execute and manage functional, regression, integration, and specialized performance tests.
Participate in requirement reviews to define test scenarios, identify edge cases, and ensure maximum test coverage.
Perform root cause analysis of failures and collaborate directly with development and product teams to resolve defects and ensure quality metrics are met.
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Execute and manage functional, regression, integration, and specialized performance tests.
Participate in requirement reviews to define test scenarios, identify edge cases, and ensure maximum test coverage.
Perform root cause analysis of failures and collaborate directly with development and product teams to resolve defects and ensure quality metrics are met.
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Cross-Functional Leadership: Serve as the primary bridge between engineering, design, marketing, and sales, translating strategic goals into technical requirements.
Risk Mitigation & Quality Control: Proactively identify bottlenecks and risks to project schedules, managing scope creep effectively.
Launch Management: Oversee the full product introduction (NPI) process to ensure timely market entry.
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Propose practical and scalable solutions to improve efficiency, reduce manual work, and eliminate paper-based processes.
Design, develop, and maintain business applications, forms, workflows, dashboards, and reports using no-code platforms such as Lark Suite and Google AppSheet.
Oversee the deployment of codes into production environments and safeguard the integrity of production databases, ensuring adherence to established protocols. This includes monitoring data accuracy, validating changes, and enforcing best practices for secure deployments.
Provide first-level technical support to end-users, serving as the primary point of contact for application-related issues.
Participate in code reviews, debugging, performance tuning and other technical discussions, contributing to ongoing and upcoming projects and enhancements.
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Establish and govern drawing standards, including templates, layouts, metadata, annotations, and revision control, ensuring consistency and compliance across projects.
AI Engineering & Intelligent Automation
Design, develop, and deploy practical AI-enabled solutions to support engineering and manufacturing processes.
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Propose practical and scalable solutions to improve efficiency, reduce manual work, and eliminate paper-based processes.
Design, develop, and maintain business applications, forms, workflows, dashboards, and reports using no-code platforms such as Lark Suite and Google AppSheet.
Identify, develop, and gather the resources necessary to complete the automation project. This may include preparing complex engineering standards, designs and work specifications; developing project schedules, budgets and forecasts; and selecting materials, equipment, project staff, and external contractors.
Estimate the costs, resources, and time required to complete an automation project and monitor activities, allocate resources, and assign tasks to ensure these targets are met.
Liaise with other operational areas in the organisation (for example Admin & Procurement, HR & Finance) to secure specialised resources and contributions for the project.
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Execution, testing & handover: oversee installation and commissioning, run FAT/ SAT, close punch lists, and hand over completed projects to operations.
Degree in Electrical Engineering, Mechatronic Engineering, Manufacturing Engineering or equivalent.
5+ years in Food/ FMCG manufacturing industry.
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