Infrastructure Architect - Cloud, DevOps & AI/ML

We are looking for Infrastructure Architects and experienced Cloud Infrastructure professionals to design and support secure, resilient, scalable, high-performance, and cost-effective infrastructure across cloud, on-premises, and hybrid environments. The role focuses on designing the infrastructure foundation for modern enterprise solutions, with particular emphasis on cloud platforms, compute, storage, networking, containerisation, Infrastructure-as-Code, high availability, disaster recovery, and data-intensive/AI/ML workloads. Candidates with different levels of experience are encouraged to apply, from strong infrastructure/cloud engineers looking to move into architecture through to experienced Infrastructure Architects. Requirements Key Responsibilities • Design end-to-end infrastructure architectures across cloud, on-premises, and hybrid environments • Define architecture across compute, storage, networking, databases, and platform services based on business and technical requirements • Design infrastructure requirements for data-intensive and AI/ML workloads, including GPU compute, high-throughput storage, scalable processing, and inference environments • Establish and maintain standards for Infrastructure-as-Code (IaC), environment management, automation, and configuration consistency • Design highly available infrastructure architectures with appropriate backup, disaster recovery, business continuity, RTO and RPO requirements • Ensure infrastructure designs meet security, compliance, data residency, and regulatory requirements • Perform capacity planning and cost optimisation, including resource right-sizing based on workload requirements • Review infrastructure architecture and technical changes and provide guidance to infrastructure, cloud, DevSecOps, and engineering teams • Support implementation teams by providing architecture guidance, technical standards, and recommended design patterns • Evaluate emerging cloud and infrastructure technologies and provide recommendations for adoption where appropriate • Contribute to infrastructure modernization, cloud migration, scalability, resilience, and performance improvement initiatives Core Technical Skills Cloud & Hybrid Infrastructure Experience with one or more major cloud platforms: • AWS • Microsoft Azure • Google Cloud Platform (GCP) • Hybrid cloud environments • On-premises infrastructure Candidates with strong expertise in one cloud platform are welcome, while multi-cloud experience will be an advantage. Compute, Networking & Storage Strong understanding of infrastructure architecture across: • Compute • Networking • Storage • Virtualisation • Load balancing • High availability • Disaster recovery • Backup and recovery • Business continuity • Performance and capacity planning Containers & Platform Technologies Experience with: • Docker • Kubernetes • Container orchestration • Container-based infrastructure • Cloud-native platform architectures Infrastructure-as-Code & Automation Experience with Infrastructure-as-Code and configuration management tools such as: • Terraform • AWS CloudFormation • Azure Bicep • Ansible • Other infrastructure automation tools Strong understanding of environment management, configuration consistency, automation, and repeatable infrastructure deployment is required. AI/ML & Data Infrastructure Experience designing infrastructure for data-intensive and AI/ML workloads is highly desirable. Relevant experience may include: • GPU compute infrastructure • High-throughput storage • Scalable compute environments • AI/ML infrastructure • Model training infrastructure • Model inference environments • Data processing workloads • Performance and capacity optimisation for AI/ML workloads Security & Compliance Strong understanding of: • Infrastructure security • Security architecture • Identity and Access Management (IAM) • Authentication and authorization • Network security • Cloud security • Data protection • Compliance requirements • Data residency • Secure infrastructure design The successful candidate should be able to incorporate security and compliance requirements into infrastructure architecture rather than treating them as an afterthought. High Availability & Disaster Recovery Experience designing resilient infrastructure with consideration for: • High Availability (HA) • Disaster Recovery (DR) • Backup strategies • Business Continuity • RTO - Recovery Time Objective • RPO - Recovery Point Objective • Failure recovery • Resilience and redundancy Architecture & Leadership Responsibilities For senior-level candidates, responsibilities may include: • Reviewing and approving infrastructure designs • Establishing infrastructure architecture standards and reference patterns • Providing technical direction to infrastructure and DevSecOps engineers • Leading architecture discussions and design reviews • Conducting technology evaluations and making adoption recommendations • Mentoring engineers and supporting technical capability development • Driving infrastructure modernization and optimization initiatives Required Qualifications Depending on seniority, candidates should demonstrate relevant experience across: • Cloud infrastructure architecture or engineering • AWS, Azure and/or GCP • Networking and virtualisation • Docker and Kubernetes • Infrastructure-as-Code • Infrastructure automation • Security and IAM • High availability and disaster recovery • Infrastructure performance and capacity planning For senior/architect-level positions: proven experience designing and governing enterprise-scale infrastructure architectures is expected. For junior/mid-level candidates: strong hands-on infrastructure/cloud engineering experience with the ability and ambition to progress into architecture will also be considered. Certifications - Desirable Relevant certifications are advantageous, including: • AWS Solutions Architect • AWS Certified Advanced Networking / Security • Microsoft Azure Solutions Architect • Google Cloud Architect • Kubernetes certifications • HashiCorp Terraform certifications • TOGAF • Other relevant cloud, infrastructure, security, or architecture certifications Preferred Experience Experience in one or more of the following environments will be an advantage: • Enterprise infrastructure • Cloud transformation • Hybrid cloud • Cloud migration • AI/ML platforms • Data platforms • DevSecOps • Financial services / banking •

Design end-to-end infrastructure architectures across cloud, on-premises, and hybrid environments; Define architecture across compute, storage, networking, databases, and platform services based on business and technical requirements; Design infrastructure requirements for data-intensive and AI/ML workloads, including GPU compute, high-throughput storage, scalable processing, and inference environments; Establish and maintain standards for Infrastructure-as-Code (IaC), environment management, automation, and configuration consistency; Design highly available infrastructure architectures with appropriate backup, disaster recovery, business continuity, RTO and RPO requirements; Ensure infrastructure designs meet security, compliance, data residency, and regulatory requirements; Perform capacity planning and cost optimisation, including resource right-sizing based on workload requirements; Review infrastructure architecture and technical changes and provide guidance to infrastructure, cloud, DevSecOps, and engineering teams; Support implementation teams by providing architecture guidance, technical standards, and recommended design patterns; Evaluate emerging cloud and infrastructure technologies and provide recommendations for adoption where appropriate; Contribute to infrastructure modernization, cloud migration, scalability, resilience, and performance improvement initiatives