Infrastructure Architect

Remote Source: WhatJobs

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Overview

In this senior transformation role, you will define and drive the target-state infrastructure across data centres, cloud, and end-user computing to support the organisation’s architecture strategy. You will lead major data centre consolidation and migration programs, modernise VDI/EUC, and optimise infrastructure costs while ensuring resilience and security. You will collaborate with infrastructure engineering, cloud, cybersecurity, and business stakeholders to shape multi-year roadmaps and governance. The role also involves enabling AI workloads through secure infrastructure and platform capabilities, at scale. This is a high-impact position that shapes the future of the enterprise estate.

Responsibilities

Define target-state infrastructure architecture across data centres, cloud and end-user computing
Lead data centre consolidation, migration and decommissioning
Drive VDI/EUC rationalisation and modernisation
Develop workload placement strategies across on-premises, colocation and cloud
Define infrastructure principles, standards, reference architectures and multi-year roadmaps
Identify opportunities to simplify the estate, reduce technical debt and optimise costs
Ensure resilience, scalability, security and operational recoverability in designs
Collaborate across infrastructure engineering, cloud, cybersecurity, EA and business stakeholders
Support adoption of AI, enabling infrastructure and platform capabilities for AI workloads securely

Key requirements

Significant experience as an Infrastructure Architect in a large enterprise
Strong Financial Services experience (banking, capital markets or investment banking)
Proven delivery of major data centre migration/consolidation/exit programmes
Strong knowledge of VMware/virtualisation, compute, storage, networking, backup and DR
Experience with VDI/EUC platforms (Citrix, VMware Horizon, Azure Virtual Desktop)
Strong hybrid-cloud experience (Azure, AWS and/or GCP)
Experience developing infrastructure strategy, standards, governance and roadmaps
Strong senior stakeholder management and ability to influence engineering direction
Exposure to AI-related infrastructure or enterprise AI adoption (highly relevant)