ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Cloud Computing

ประเภทงาน:

งานประจำ

• Monitor and support Fibre Mobile Application and AI Smart Home Services (mobile apps, cloud platforms, IoT device management systems).
• Perform routine system health checks and preventive maintenance to ensure high availability, stability, and performance of Fibre Mobile Application and Smart Home services.
• Support AI-driven features by tuning model performance, feedback loops, optimize performance of AI models and system response (e.g., automation, voice control, behavior ...
• Monitor APIs, data flows, third-party service integrations and IoT device connectivity, communication protocols (MQTT, REST API).
• Analyze and Troubleshoot customer problems related to app usage or device behavior device integration issues (sensors, gateways, smart devices).
• Detect, Resolve system/application issues impacting smart home services and perform root cause analysis (RCA) and implement preventive actions.
• Support deployment by validate releases through testing before production rollout of new features, patches, and AI model updates,change management processes, maintain documentation.
• Ensure data quality and integrity to support reliable AI processing, identify opportunities to automate monitoring and incident response, and drive continuous improvement of AI-driven services.
• Work closely with AI engineers, developers, IoT teams, and cloud engineers and ensure compliance with IT security policies, support vulnerability assessments, patching, and monitor access controls.
• Bachelor's degree in computer science, Information Technology, Data Science / AI (preferred) or related fields.
• 0-2 years of experience in application/system support or IoT / Smart Home / Cloud platform operations.
• Experience supporting mobile application or network-related systems is a plus.
• Exposure to AI-based features or IoT ecosystems is an advantage.
• Knowledge of IoT architecture (devices, gateways, cloud platforms), AI/ML concepts (basic understanding of models, inference, data flow), Smart home ecosystems (e.g., sensors, automation systems, voice assistants).
• API integration (REST, JSON, Microservices).
• Monitoring tools (e.g., Grafana, Prometheus, Cloud monitoring tools).
• Database (SQL/NoSQL - data query and troubleshooting).
• Operating systems (Linux/Unix, Windows).
• IoT protocols (MQTT, HTTP, WebSocket).
• Cloud platforms (AWS, Azure, GCP - preferred).
• Basic scripting skills (Python, Shell, or similar) is a plus.