Infrastructure Architect - Cloud, DevOps & AI/ML
Role overview
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 • Highly regulated environments • Large-scale distributed systems What We're Looking For We are looking for people who can design, not just operate infrastructure — professionals who understand how compute, networking, storage, cloud, security, automation, resilience, and cost come together to support business-critical workloads. Candidates should demonstrate strong problem-solving skills, technical curiosity, ownership, and the ability to work collaboratively with architecture, engineering, security, data, AI/ML, and DevSecOps teams. Experience Levels 0–5 Years: Cloud/Infrastructure Engineers with strong hands-on exposure and a clear interest in architecture. 5–10 Years: Senior Cloud/Infrastructure Engineers with architecture and design experience. 10–15 Years: Infrastructure/Cloud Architects with enterprise-scale design and governance experience. 15+ Years: Lead/Principal Infrastructure Architects capable of owning complex enterprise and hybrid-cloud architecture strategies.