Involved Solutions
Senior Cloud Architect Salary: Up to £90,000 + Benefits Location: London Working Pattern: Hybrid Job Type: PermanentA globally recognised technology organisation is looking for an experienced Senior Cloud Platform Architect to help design, develop and optimise enterprise scale cloud platforms across Google Cloud Platform (GCP) and Microsoft Azure. This is a senior technical position combining Cloud Architecture, Platform Engineering and DevOps, with responsibility for defining cloud patterns, architecting Landing Zones and enabling secure, scalable cloud adoption. You will work closely with engineering and DevOps teams to modernise cloud environments, establish Infrastructure as Code standards and provide technical leadership across complex multi cloud transformation programmes. Responsibilities Architect and optimise enterprise Cloud Landing Zones across GCP and Azure. Design scalable, secure and resilient multi cloud platform solutions. Define cloud architecture patterns and engineering standards to support enterprise cloud adoption. Design and implement container platforms using Google Kubernetes Engine (GKE) and Azure Kubernetes Service (AKS). Define and enforce cloud governance frameworks covering identity, access management, networking, security and compliance. Design reusable and modular Infrastructure as Code solutions using Terraform and Terraform Cloud. Implement Policy as Code guardrails using OPA and Sentinel. Lead Kubernetes architecture, workload orchestration and service mesh integration using Istio. Collaborate with DevOps teams to integrate CI/CD pipelines for automated infrastructure and application deployments. Develop automation scripts and workflows using Python. Support the migration of legacy applications and infrastructure into modern cloud native environments. Identify opportunities to improve cloud security, resilience, automation and operational efficiency. Optimise cloud resource utilisation and support cost management initiatives. Provide technical leadership across Cloud Platform Engineering, architecture and strategy. Work with senior stakeholders to communicate technical decisions, architectural direction and best practices. Essential Skills & Experience Proven experience working as a Cloud Architect, Cloud Platform Architect or similar senior cloud engineering professional. Strong hands on experience across Google Cloud Platform (GCP). Commercial experience working with Microsoft Azure. Strong experience designing and implementing enterprise Cloud Landing Zones. Advanced Infrastructure as Code experience using Terraform and Terraform Cloud. Strong Kubernetes experience including GKE and AKS. Experience with containerisation and cloud native architectures. Knowledge of service mesh technologies including Istio. Strong understanding of cloud governance, IAM, networking and security. Experience implementing Policy as Code using OPA and/or Sentinel. Experience integrating infrastructure deployments with CI/CD pipelines. Knowledge of CI/CD technologies such as Jenkins, GitHub Actions or Harness. Python scripting experience for cloud automation. Experience designing scalable, resilient and secure enterprise cloud platforms. Strong stakeholder management and communication skills. Ability to provide technical leadership across engineering and architecture teams. Desirable Skills Experience operating as a GCP Cloud SME. Experience providing technical consultancy across cloud design, architecture and strategy. Experience with developer or cloud engineering platforms such as Backstage. Experience leading enterprise cloud transformation and migration programmes. Strong understanding of modern DevOps and Platform Engineering practices. Experience influencing cloud strategy and engineering standards across multiple teams. Ability to provide thought leadership around cloud innovation and best practice. If you are an experienced Cloud Platform Architect with strong GCP, Azure, Kubernetes and Terraform expertise and would like to find out more, please apply with your most up to date CV. Senior Cloud Platform Architect, Cloud Platform Architect, Cloud Architect, GCP Architect, Google Cloud Architect, GCP, Google Cloud Platform, Azure, Azure Architect, Multi Cloud, Cloud Platform Engineering, Platform Engineering, Cloud Engineering, Cloud Landing Zone, Landing Zones, GKE, Google Kubernetes Engine, AKS, Azure Kubernetes Service, Kubernetes, K8s, Terraform, Terraform Cloud, Infrastructure as Code, IaC, DevOps, CI/CD, Jenkins, GitHub Actions, Harness, Python, Automation, OPA, Open Policy Agent, Sentinel, Policy as Code, Istio, Service Mesh, Cloud Governance, IAM, Cloud Security, Cloud Native, Cloud Migration, Backstage.
Senior Cloud Architect Salary: Up to £90,000 + Benefits Location: London Working Pattern: Hybrid Job Type: PermanentA globally recognised technology organisation is looking for an experienced Senior Cloud Platform Architect to help design, develop and optimise enterprise scale cloud platforms across Google Cloud Platform (GCP) and Microsoft Azure. This is a senior technical position combining Cloud Architecture, Platform Engineering and DevOps, with responsibility for defining cloud patterns, architecting Landing Zones and enabling secure, scalable cloud adoption. You will work closely with engineering and DevOps teams to modernise cloud environments, establish Infrastructure as Code standards and provide technical leadership across complex multi cloud transformation programmes. Responsibilities Architect and optimise enterprise Cloud Landing Zones across GCP and Azure. Design scalable, secure and resilient multi cloud platform solutions. Define cloud architecture patterns and engineering standards to support enterprise cloud adoption. Design and implement container platforms using Google Kubernetes Engine (GKE) and Azure Kubernetes Service (AKS). Define and enforce cloud governance frameworks covering identity, access management, networking, security and compliance. Design reusable and modular Infrastructure as Code solutions using Terraform and Terraform Cloud. Implement Policy as Code guardrails using OPA and Sentinel. Lead Kubernetes architecture, workload orchestration and service mesh integration using Istio. Collaborate with DevOps teams to integrate CI/CD pipelines for automated infrastructure and application deployments. Develop automation scripts and workflows using Python. Support the migration of legacy applications and infrastructure into modern cloud native environments. Identify opportunities to improve cloud security, resilience, automation and operational efficiency. Optimise cloud resource utilisation and support cost management initiatives. Provide technical leadership across Cloud Platform Engineering, architecture and strategy. Work with senior stakeholders to communicate technical decisions, architectural direction and best practices. Essential Skills & Experience Proven experience working as a Cloud Architect, Cloud Platform Architect or similar senior cloud engineering professional. Strong hands on experience across Google Cloud Platform (GCP). Commercial experience working with Microsoft Azure. Strong experience designing and implementing enterprise Cloud Landing Zones. Advanced Infrastructure as Code experience using Terraform and Terraform Cloud. Strong Kubernetes experience including GKE and AKS. Experience with containerisation and cloud native architectures. Knowledge of service mesh technologies including Istio. Strong understanding of cloud governance, IAM, networking and security. Experience implementing Policy as Code using OPA and/or Sentinel. Experience integrating infrastructure deployments with CI/CD pipelines. Knowledge of CI/CD technologies such as Jenkins, GitHub Actions or Harness. Python scripting experience for cloud automation. Experience designing scalable, resilient and secure enterprise cloud platforms. Strong stakeholder management and communication skills. Ability to provide technical leadership across engineering and architecture teams. Desirable Skills Experience operating as a GCP Cloud SME. Experience providing technical consultancy across cloud design, architecture and strategy. Experience with developer or cloud engineering platforms such as Backstage. Experience leading enterprise cloud transformation and migration programmes. Strong understanding of modern DevOps and Platform Engineering practices. Experience influencing cloud strategy and engineering standards across multiple teams. Ability to provide thought leadership around cloud innovation and best practice. If you are an experienced Cloud Platform Architect with strong GCP, Azure, Kubernetes and Terraform expertise and would like to find out more, please apply with your most up to date CV. Senior Cloud Platform Architect, Cloud Platform Architect, Cloud Architect, GCP Architect, Google Cloud Architect, GCP, Google Cloud Platform, Azure, Azure Architect, Multi Cloud, Cloud Platform Engineering, Platform Engineering, Cloud Engineering, Cloud Landing Zone, Landing Zones, GKE, Google Kubernetes Engine, AKS, Azure Kubernetes Service, Kubernetes, K8s, Terraform, Terraform Cloud, Infrastructure as Code, IaC, DevOps, CI/CD, Jenkins, GitHub Actions, Harness, Python, Automation, OPA, Open Policy Agent, Sentinel, Policy as Code, Istio, Service Mesh, Cloud Governance, IAM, Cloud Security, Cloud Native, Cloud Migration, Backstage.
Deerfoot Recruitment Solutions Ltd
Azure AI Cloud Engineer London (Hybrid): Onsite 4:1 WFH £635.63pd Umbrella Rate We're seeking a forward-thinking engineer ready to sit at the absolute intersection of Cloud Infrastructure and Artificial Intelligence within this international banking group. This is a unique opportunity to join a small, dynamic team within a leading financial services institution as they evolve their digital engineering capabilities. You will play a pivotal role in building the secure, scalable foundations that underpin critical banking services, transitioning from traditional cloud functions into a high-impact AI enablement powerhouse. In this hands-on role, you will design and develop bespoke cloud and AI solutions, primarily focusing on Azure while expanding into Oracle Cloud and AWS. You will be the bridge between platforms and software engineering, applying rigorous discipline to deliver automated, sustainable patterns that meet complex regulatory and security standards. Your Key Responsibilities Design & Deliver: Architect and implement cloud and AI-ready solutions on Azure, building repeatable patterns and integration services that support next-generation workloads. Secure AI Architecture: Develop and scale secure infrastructure architectures that allow applications to safely access both cloud-based backend services and on-premises data sources. Enforce Governance & Guardrails: Operationalise strict zero-trust governance controls, including robust API management structures to log every single user prompt and completion for full auditability. Engineering Excellence: Drive automation through Infrastructure-as-Code (Bicep, Terraform) and CI/CD pipelines, while maintaining REST APIs and identity-aware solution patterns. Stakeholder Collaboration: Act as a credible technical bridge between business analysts and senior front-office teams (including electronic trading platforms). You will confidently take business requirements, map out constraints, and articulate complex technical limitations to non-technical stakeholders. Skills & Experience Required Production-Level Azure Infrastructure: Deep hands-on experience with core Azure services, PaaS, and Infrastructure-as-Code (Bicep, ARM, or Terraform). You must be hit-the-ground-running at a senior level; the team does not have the capacity to train on core Azure mechanics. AI Engineering (Beyond the Basics): Real-world enterprise experience designing and deploying solutions centred around agentic workflows, Retrieval-Augmented Generation (RAG), and vectorisation patterns, rather than purely self-taught or personal interest projects. Software Engineering & Tech Stack: High proficiency in Python and PowerShell for building automation frameworks, REST APIs, and identity flows. Production exposure to the OpenAI SDK, GPT models, and Palantir Foundry is highly desirable. Identity & Regulated Security: Exceptional understanding of Entra ID, IAM patterns, and implementing rigorous security controls. Experience within a highly regulated environment such as banking, insurance, or healthcare is essential. Qualifications: You should ideally hold an Azure certification (AZ-104 or higher) This is more than just an infrastructure role; it is a chance to influence a global cloud strategy and gain exposure to multi-cloud environments during a major AI transformation. If you thrive in a results-driven environment and want to make a tangible impact on the future of FinTech, we want to hear from you. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Cloud Engineer, AI Engineer, Azure Architect, Platform Engineer, DevOps Engineer, Python Developer, Azure OpenAI, Bicep, Terraform, Entra ID, Generative AI Integration, and FinTech Cloud Specialist. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd acts as an Employment Business in relation to this vacancy.
Azure AI Cloud Engineer London (Hybrid): Onsite 4:1 WFH £635.63pd Umbrella Rate We're seeking a forward-thinking engineer ready to sit at the absolute intersection of Cloud Infrastructure and Artificial Intelligence within this international banking group. This is a unique opportunity to join a small, dynamic team within a leading financial services institution as they evolve their digital engineering capabilities. You will play a pivotal role in building the secure, scalable foundations that underpin critical banking services, transitioning from traditional cloud functions into a high-impact AI enablement powerhouse. In this hands-on role, you will design and develop bespoke cloud and AI solutions, primarily focusing on Azure while expanding into Oracle Cloud and AWS. You will be the bridge between platforms and software engineering, applying rigorous discipline to deliver automated, sustainable patterns that meet complex regulatory and security standards. Your Key Responsibilities Design & Deliver: Architect and implement cloud and AI-ready solutions on Azure, building repeatable patterns and integration services that support next-generation workloads. Secure AI Architecture: Develop and scale secure infrastructure architectures that allow applications to safely access both cloud-based backend services and on-premises data sources. Enforce Governance & Guardrails: Operationalise strict zero-trust governance controls, including robust API management structures to log every single user prompt and completion for full auditability. Engineering Excellence: Drive automation through Infrastructure-as-Code (Bicep, Terraform) and CI/CD pipelines, while maintaining REST APIs and identity-aware solution patterns. Stakeholder Collaboration: Act as a credible technical bridge between business analysts and senior front-office teams (including electronic trading platforms). You will confidently take business requirements, map out constraints, and articulate complex technical limitations to non-technical stakeholders. Skills & Experience Required Production-Level Azure Infrastructure: Deep hands-on experience with core Azure services, PaaS, and Infrastructure-as-Code (Bicep, ARM, or Terraform). You must be hit-the-ground-running at a senior level; the team does not have the capacity to train on core Azure mechanics. AI Engineering (Beyond the Basics): Real-world enterprise experience designing and deploying solutions centred around agentic workflows, Retrieval-Augmented Generation (RAG), and vectorisation patterns, rather than purely self-taught or personal interest projects. Software Engineering & Tech Stack: High proficiency in Python and PowerShell for building automation frameworks, REST APIs, and identity flows. Production exposure to the OpenAI SDK, GPT models, and Palantir Foundry is highly desirable. Identity & Regulated Security: Exceptional understanding of Entra ID, IAM patterns, and implementing rigorous security controls. Experience within a highly regulated environment such as banking, insurance, or healthcare is essential. Qualifications: You should ideally hold an Azure certification (AZ-104 or higher) This is more than just an infrastructure role; it is a chance to influence a global cloud strategy and gain exposure to multi-cloud environments during a major AI transformation. If you thrive in a results-driven environment and want to make a tangible impact on the future of FinTech, we want to hear from you. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Cloud Engineer, AI Engineer, Azure Architect, Platform Engineer, DevOps Engineer, Python Developer, Azure OpenAI, Bicep, Terraform, Entra ID, Generative AI Integration, and FinTech Cloud Specialist. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd acts as an Employment Business in relation to this vacancy.
