Senior IT Analyst [Application and System Operation]

Description: 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 analytics).
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.
Qualifications & Requirements.
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.
Job skills required: Cloud Computing
Job skills preferred: Architecture, Linux, Python, Automation, NoSQL