Translate demand into infrastructure requirements. Work with AI business and platform teams to define compute capacity, network bandwidth and latency, connectivity, data access, scalability, availability, and operational needs. Convert these into supplier requirements, evaluation criteria, delivery milestones, and acceptance criteria.
Lead the administration, support, and maintenance of RHEL-based Linux infrastructure and enterprise middleware platforms, including IBM MQ, IBM Connect: Direct, Axway , and LDAP, across Production, UAT, and Development environments.
Role PurposeProvide senior-level operational and technical support for Microsoft 365 collaboration, messaging, and identity services, ensuring availability, security, and compliance with organisational policies.
We are building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect – Data Engineering, you will be the technical anchor of the practice: leading solution design on client engagements, owning and defending enterprise architectures in presales, and driving large-scale migration and cloud transformation programs. This is a hands-on leadership role for a builder who can equally command a whiteboard in front of a CTO and a Spark UI when a pipeline misbehaves. You will also shape the practice itself — mentoring engineers, creating accelerators and reusable assets, and converting delivery success into case studies and go-to-market offerings
Lead the operation and technical management of the Microsoft 365 ecosystem, including Exchange Online, Microsoft Teams, SharePoint Online, OneDrive, Viva, Purview, Defender, Entra ID, Power Platform and Copilot.
Job Summary:Role: Oracle Fusion Data Migration ConsultantStart: ASAPDuration: 12 MonthsLocation: SingaporeWe are seeking an experienced Oracle Fusion Data Migration Consultant to drive end-to-end data migration initiatives from Oracle E-Business Suite (EBS) and legacy platforms to Oracle Fusion Cloud ERP. This role will be responsible for migration planning, data governance, data quality, reconciliation, cutover execution, and post-go-live stabilization while ensuring compliance, accuracy, and business continuity throughout the transformation journey.
Discovery& Strategy: Meet with customer IT teams, architects, and CXOs tounderstand their current pain points, legacy infrastructure, and cloudstrategy.