Structural Planning: Conduct quarterly reviews of lead time profiles and recommend optimal Safety Stock levels to balance high service levels with working capital efficiency.
Inventory Programs: Enhance Supplier Managed Inventory (SMI), Vendor Managed Inventory (VMI), and Just-in-Time (JIT) frameworks to boost inventory turns.
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Troubleshoot, debug, optimise, and enhance application performance, reliability, and scalability.
Manage assigned development tasks and deliver project milestones within agreed timelines.
Collaborate closely with Software Engineers, Business Analysts, Technical Specialists, and project stakeholders throughout the Software Development Life Cycle (SDLC).
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Performance and scale. Identify bottlenecks, improve database access patterns, and optimise latency and throughput as transaction volumes grow.
Production reliability. Build useful monitoring and alerting, investigate incidents, and turn root cause analysis into durable improvements.
Engineering quality. Write maintainable code, build meaningful unit, integration, and performance tests, and strengthen delivery through code reviews and CI/CD.
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Full Stack EngineeringFrontend: React, Next.js, TypeScript, modern component architectures, state management, real-time and streaming AI interfaces, agent activity and execution interfaces, data visualization.Backend: Node.js, TypeScript, Python, REST APIs, GraphQL, WebSockets and streaming, event-driven architectures, background workers, job queues, distributed systems, authentication and authorization.
Distributed SystemsDesign systems that reliably execute thousands or millions of AI and data-processing tasks. Kubernetes, Docker, Cloud Run and serverless, message queues, Redis, Kafka or equivalent, distributed job processing, concurrency management, rate limiting, retries, idempotency, fault tolerance, observability. You know how to build systems that stay reliable when agents fail, APIs time out, models hallucinate, or downstream services go away.
Data & Learning InfrastructureBuild the infrastructure agents need to learn from historical executions. PostgreSQL, BigQuery or equivalent data warehouses, ClickHouse or analytical databases, vector databases, embeddings, retrieval systems, event logs, feature stores, analytics pipelines, data ingestion.
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- Site Coordination: Liaise with main contractors, interior designers, or building owners to coordinate delivery schedules and electrical power readiness.
- Installation Oversight: Manage installer teams or subcontractors to ensure hardware installation and wiring meet quality standards.
- Testing & Commissioning: Conduct final inspections, calibrate door sensors, test safety sensors, and program operator settings.
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Position yourself for future engineering roles by owning small subsystems and seeing work progress from prototype to production.
Ready to turn classroom ideas into working machines? By working with us at FlexLink Engineering Sdn Bhd, you'll join a hands-on engineering team that designs automation modules and production systems for regional manufacturers, improving how products are made and moved.
As a Mechanical Engineering Intern, you will help build prototypes, test rigs and component assemblies that move projects from concept to shop floor. You will take part in design reviews, laboratory testing, component sourcing and system integration to scale ideas into manufacturable solutions.
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This is an entry-level role suitable for fresh graduates or early-career candidates who are curious about technology, enjoy solving problems and are willing to learn affiliate tracking and traffic protection.
What you’ll do
Help new advertisers set up tracking links, postbacks and system connections.
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Ready to run complex ICT projects that actually deliver?
As our ICT Infrastructure Delivery Manager you will be the builder who owns end-to-end delivery of commercial infrastructure projects. You will shape architecture patterns, drive automation and hand over resilient operations while coordinating engineers, consultants and vendors to meet performance, security and budget goals.
Partner with AI engineers and developers — including agentic AI initiatives such as multi-agent orchestration systems, natural-language query layers over real-time vision event data, and LLM tool-use and automation — to scope, estimate, and sequence work accurately.
Develop detailed project plans, timelines, and resource allocation; monitor progress and report against KPIs.
Serve as the primary point of contact for clients, managing communication and expectations across technical and business audiences.
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