Collaborate and design solutions for the challenging yet unique problems across hardware and software platforms, including servers, RAID, and various operating systems (Windows and Linux).
Participate in planning and coordinating significant technical investigations from problem statement to conclusion.
Creates design documents pertinent to the various phases of firmware development.
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Lead delivery of AI-first applications and internal platforms from design through production, adoption, support, and continuous improvement.
Establish the team's agentic engineering harness and reusable engineering foundations. Continuously improve these foundations, including development workflows, tool use, service architecture, APIs, event contracts, data access, identity, evaluation, testing, and deployment.
Own reliability and responsible engineering practices across the team, including observability, availability, security, privacy, data governance, cost management, on-call readiness, incident response, and postmortems.
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Author and maintain structured content using Schema ST4 and component content management methodologies. Manage content reuse, topic-based authoring, metadata, and information architecture. Coordinate localization and translation workflows with internal and external providers.
Follow and maintain documentation templates, style guides, and content management best practices. Ensure all documentation complies with company standards, regulatory requirements, safety guidelines, and industry best practices.
Stay up to date with industry trends and technical documentation best practices. Identify opportunities to improve documentation processes through automation, content reuse, and digital transformation initiatives.
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Simulate Customer Environments: Utilize our specialized onsite support laboratory to recreate customer scenarios, test instrument performance, and validate technical solutions
Facilitate Knowledge Sharing: Utilize AI-driven knowledge management tools to create self-fix materials, support software/hardware updates, and deliver technical discussions for customers and internal teams
Collaborate in Agile Networks: Participate in local and regional service projects within the hub, collaborating cross-functionally to improve service delivery and strengthen long-term customer trust
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Simulate Customer Scenarios: Utilize our specialized onsite support laboratory to recreate customer scenarios, test assay performance, and validate technical solutions
Facilitate Knowledge Sharing: Utilize AI-driven knowledge management tools to create self-fix materials, support software/hardware updates, and deliver technical discussions for customers and internal teams
Collaborate in Agile Networks: Participate in local and regional service projects within the hub, collaborating cross-functionally to improve service delivery and strengthen long-term customer trust
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Analytical Problem Solving & Performance Tuning: Leverage advanced analytical techniques to diagnose platform bottlenecks, optimize database queries, improve GraphQL API performance, and enhance frontend speed metrics across SG and MY stores.
Marketplace Integrations: Lead the architectural design and analytical evaluation of integrations with major 3rd-party marketplace platforms (e.g., Shopee), ensuring robust error-handling, logs analysis, and real-time synchronization for inventory, orders, and pricing.
Headless & GraphQL Expertise: Provide deep technical authority on Magento GraphQL APIs and headless architecture, analyzing data payload efficiency and network latency for native Mobile Applications.
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Quality Assurance & Compliance: Define performance metrics, continuous monitoring, health checks, periodic reviews, enforcement mechanisms, and automated validation rules to maintain 100% accurate dependencies, impact maps, and ticket routing logic
Process Enablement & Frameworks: Standardize playbooks, intake frameworks, and self-service guidelines to streamline how product teams interface with IT Service Management systems. Contextual layer for operational telemetry (dependencies, ownership, business mapping) to enable reasoning.
AI Tools and Automation Adoption: Define and adopt AI-driven Solutions and rulesets to support the identification of operational support structure gaps and the automation of the corrective actions in the CMDB. Provides the necessary high-quality, real-time data layer to safely automate operations and prevent AI "hallucinations “
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Deliver the right requirements and process to monitor product performance including supporting engineering documents releasing at EMS in the event the BOM (Bill of Material) revision roll-up
Manage post transfer qualification for electrical components by engaging with SME (Subject Matter Expert) and functional teams to finalize the Master Test Plan (MTP) and grandfathering plan
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Review design packages (electrical, mechanical, controls) and ensure production teams fully understand the build requirements.
Conduct build readiness reviews with production, quality, HSE, and supply chain teams to ensure all materials, drawings, jigs, and procedures are released before production start.
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Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
Prompt Engineering & Evaluation: Design, optimize, and evaluate prompts to improve AI behavior, reasoning, and response quality.
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