Commission new stores end to end — rack layout, structured cabling, router/firewall and managed switch configuration, VLAN segmentation (management / POS & token / IoT machines / CCTV / staff), access point setup, WireGuard tunnel back to HQ, Zabbix agent registered.
Bring the machine layer online — wire and address washer/dryer controllers, verify RS485/Modbus TCP connectivity, pull and run the Docker container for the IoT service, confirm the FastAPI endpoint is reachable and returning correct machine state, and prove each machine reads and writes before handover.
Diagnose faults to root cause — machines become offline, a token terminal drops off, a store loses its tunnel. You isolate it layer by layer (cable → link → IP → VLAN → route → firewall → service → application) and document what it actually was.
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Commission new stores end to end — rack layout, structured cabling, router/firewall and managed switch configuration, VLAN segmentation (management / POS & token / IoT machines / CCTV / staff), access point setup, WireGuard tunnel back to HQ, Zabbix agent registered.
Bring the machine layer online — wire and address washer/dryer controllers, verify RS485/Modbus TCP connectivity, pull and run the Docker container for the IoT service, confirm the FastAPI endpoint is reachable and returning correct machine state, and prove each machine reads and writes before handover.
Diagnose faults to root cause — machines become offline, a token terminal drops off, a store loses its tunnel. You isolate it layer by layer (cable → link → IP → VLAN → route → firewall → service → application) and document what it actually was.
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On-Site Client Deployment: Work directly at the client’s designated location in KL City Centre to execute cloud infrastructure projects, deliver system integration, and manage technical client requirements.
Cloud Infrastructure Provisioning: Design, deploy, and maintain secure, highly available cloud environments (AWS, Azure, or GCP) aligned with client security and operational policies.
Automation & IaC: Write and manage clean Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Bicep to automate provisioning and minimize manual configuration.
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Lead end-to-end project delivery, from technical discovery and solution scoping through on-premise deployment and final handover.
Work hands-on with CCTV / video surveillance environments — IP cameras, NVRs, video management systems (VMS), and live video feeds — to plan and execute AI Vision deployments across client sites.
Plan and oversee on-premise server and software deployment: hardware sizing, Linux environments, containers (Docker), networking, and security considerations, in partnership with our engineers.
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Advance your architecture skills by owning multi-service systems and delivering measurable improvements in latency, cost, scalability, or maintainability. Lead design reviews, produce architecture diagrams, and propose practical trade-offs that keep our industrial customers reliable.
Lead cross-functional delivery with product and QA, defining clear acceptance criteria and keeping releases predictable. Coordinate rollout plans, feature flags, release notes, and post-release checks that reduce surprises in production and keep factory operations stable.
Expand your technical footprint across backend and frontend stacks by applying Node.js, Python, or Java and both SQL and NoSQL databases to ship full features. Work with containerisation, Kubernetes-style orchestration, CI/CD pipelines, and cloud services to run services at scale.
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Build a portfolio of POCs and demo assets you can reuse across deals, which speeds up proposal delivery and raises technical confidence. These assets become concrete examples you can point to in future interviews and promotions.
Sharpen your architecture and integration skills on platforms like Genesys, Talkdesk, Avaya and Amazon Connect while working in real customer environments. Gain hands-on exposure to scripting in JavaScript or Python and to integrating CTI, CRM and WFM systems.
Expand your network by presenting at customer workshops and industry events. Work side-by-side with sales leaders and engineers to craft technical win stories that influence buying decisions.
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Agentic AI ArchitectureDesign and implement production-grade agentic systems using models such as Claude. Agent orchestration, tool calling, function calling, multi-agent architectures, planning and task decomposition, agent memory, context management, state machines and workflow engines, long-running agents, human-in-the-loop systems, autonomous execution, recovery and retry mechanisms, observability, and evaluation. You understand the difference between LLM → Agent → Workflow → Autonomous System, and when each is appropriate.
Agentic Loops & Self-OptimizationA major part of the role is building closed-loop systems: Goal → Plan → Execute → Observe → Evaluate → Learn → Re-plan → Execute. Systems that evaluate their own outputs, detect failed actions, identify root causes, adjust strategies, optimize prompts and tool selection, keep what works, roll back what does not, and improve over time. Reflection, critique, self-evaluation, feedback loops, reward signals, evaluation frameworks, automated experimentation, memory, retrieval, state management.
Claude / LLM EngineeringDeep practical experience with Claude/Anthropic APIs is highly desirable. Tool use, structured outputs, streaming, context management, prompt engineering, system prompts, long-context workflows, model routing, token optimization, latency and cost optimization, context compression, agent memory, LLM evaluation. Experience with other frontier models (OpenAI, Gemini, Llama or equivalent) is a plus.
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Software Development
Agile Methodologies
Java Development
Python Programming
Database Management
Cloud Computing
Problem Solving
Team Collaboration
Communication Skills
Version Control
API Development
Financial Software