Senior IT Analyst [Application and System Operation]
Key Responsibilities
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 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)
Hands-on experience with:
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)
Familiarity with:
IoT protocols (MQTT, HTTP, WebSocket)
Cloud platforms (AWS, Azure, GCP – preferred)
Basic scripting skills (Python, Shell, or similar) is a plus
Willing and able to perform on-call duties; on-call compensation provided