Public Cloud Platform Engineering (Azure/AWS/GCP)
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Deep hands-on experience engineering and operating Azure and/or AWS landing zones, including identity, networking, security baselines, governance and hybrid connectivity.
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Working knowledge of GCP infrastructure sufficient to deploy, integrate, and operate Vertex AI / Gemini alongside existing cloud platforms.
AI Platform Operations & Integration
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Proven experience building, running, and supporting AI services across public cloud (Azure, AWS, GCP, etc.) and enterprise SaaS AI platforms (OpenAI Enterprise, Anthropic, etc.).
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Strong understanding of AI operational patterns including API-based model access, availability, monitoring, and governance rather than model development or data science.
On-Premise Platform Engineering, Operations & Integration
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Proven experience building, running, and supporting on-premise platforms and foundational services, such as advanced virtualisation with VMWare, Hyper-V and/or Kubernetes
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Enterprise and data platform integration experience between on-premise and public cloud, in aspects of security, high availability, networking, load balancing to deliver hybrid applications and infrastructure
Cloud Networking & Hybrid Connectivity
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Hands-on experience designing and operating hybrid cloud connectivity (ExpressRoute / Direct Connect), including resilient routing, segmentation and private access patterns.
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Strong practical knowledge of cloud network security, private endpoints, DNS integration, egress control and zero-trust networking principles.
Identity, Access Management & Security
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Deep experience implementing cloud IAM (Azure Entra ID, AWS IAM), RBAC, privileged access, MFA and workload identity patterns.
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Practical application of security-by-design principles across cloud and AI platforms, including least privilege, auditability and controlled access to sensitive data.
Infrastructure as Code & Automation
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High proficiency in Infrastructure as Code (Terraform, Bicep, CloudFormation/CDK) to deliver repeatable, governed cloud or on-premise platforms.
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Strong scripting or development capability (Python, Bash, PowerShell) to automate platform operations, integrations, and CI/CD workflows.
Governance, Compliance & Cost Management
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Experience implementing governance frameworks including policy enforcement, tagging standards, compliance automation and environment guardrails.
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Practical experience managing cost controls and consumption optimisation, particularly for AI and data-intensive workloads.
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Hands-on experience applying data classification, DLP, and AI usage controls to protect sensitive data across cloud and SaaS AI services.
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Working knowledge of enterprise AI security and governance standards aligned to regulated or low risk tolerance environments.
Platform Support & Operational Excellence
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Demonstrated experience supportingproduction cloud and on-premise platforms, including incident response, resilience testing and operational improvement.
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Ability to balance critical BAU support with ongoing platform engineering and transformation work in time‑sensitive environments.
The ideal candidate is a highly technical, hands-on platform engineer with demonstrable broad-range skills and deep experience in public cloud infrastructure and AI service delivery. You have a proven track record in problem-solving, balancing critical operational support with advanced engineering initiatives in fast-paced, demanding environments.
You are passionate about emerging cloud and AI technologies, eager to build innovative solutions that enhance technology performance while naturally understanding the need for rapid delivery balanced against business risk and operational constraints. You appreciate the importance of security, governance, and cost discipline in enterprise cloud deployments, especially when enabling AI capabilities that require strong data protection and regulatory alignment.
You have excellent communication and organizational skills, working effectively both independently and as part of cross-functional teams across Technology Infrastructure, Cybersecurity, Application Development, and Front Office stakeholders. Your commitment to continuous improvement is evident in both learning from others and sharing knowledge to enhance team capability and platform maturity