continuously improving, monitoring, maintaining, and extending the individual elements of the Data Ecosystem infrastructure in the cloud, e.g., cloud storage, file event queues, and databases, etc.
As a Senior Cloud Engineer (Data & AI Platform), you will be responsible for the design, engineering, security, reliability and operational excellence of enterprise-scale data, analytics, AI and agentic platforms on Google Cloud Platform (GCP). You will partner with architects, data engineers, data scientists, security and governance teams to deliver scalable, secure and resilient platform capabilities for analytics, AI/ML, agentic and business-critical workloads. You will provide technical leadership, establish engineering standards and serve as an escalation point for complex production issues.
Role Purpose Provide cross-domain operational coverage and service-continuity support across Microsoft 365 services and on-premises enterprise platforms, ensuring continuity of operations during incidents, leave coverage, and peak operational periods. Key Responsibilities
Maintain critical infrastructure platforms including compute, storage, virtualisation, and supporting systems across development, staging and production environments.
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Lead the design and implementation of secure, scalable, and cost-optimized cloud infrastructure, with a strong emphasis on AWS-native services and best practices.