Engineer

Job Detail

Collaborate with Security and Data Governance teams to ensure integration designs align with compliance, privacy, and policy requirements (e.g., PDPA, data classification) Design and enable data access strategies for LLMs and agent-based workflows, ensuring context-rich, real-time connectivity to distributed enterprise systems Implement and maintain integration middleware and tooling (e.g. Kafka, Azure ML/Foundry, Databricks, etc) to support data orchestration, synchronization, and reliability Contribute integration expertise to data or AI experimentation, PoCs, and platform upgrades, ensuring architectural consistency and production-readiness Define and enforce data and integration design standards, focusing on scalability, resilience, observability, and system decoupling Work closely with business units, IT, and Networks to align integration plans with enterprise priorities and ensure successful data exchange across functional boundaries Ensure that service quality & performance of the RAN and its associated nodes are maintained at high availability, with minimum disruption to operations support Review existing best practices and processes for system acceptance testing and introduce preventive or optimized measures to improve system operations and team productivity. Create and maintain Standard Operating Plans (SOPs) to operate the network elements. Troubleshoot and perform Root Cause Analysis (RCA) for system faults.Provide engineering support and expertise to Planning and Product Marketing in technical feasibility studies and trials of new products and services. As updates and upgrades may disrupt mobile services, t he successful candidate occasionally needs to work outside regular working hours to carry out such activities. There may also be unplanned system faults and service degradation outside regular working hours, which the successful candidate may be contacted to support the restoration.