Infrastructure Architect - Cloud, DevOps & AI/ML

About this role

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 arch