Cloud DevOps Engineer
Posted Today by Totaljobs
Negotiable
Outside
Hybrid
Leeds (LS1)
Summary: The Cloud Platform Engineer role involves designing, deploying, and supporting modern cloud infrastructure and container platforms within a hybrid working environment. The position requires expertise in Azure, Kubernetes, and Google Cloud Platform, focusing on multi-cloud environments and emerging AI technologies. The role is expected to last for 6 months with potential for extension and is classified as outside IR35. The position is based in Leeds and offers competitive market rates.
Key Responsibilities:
- Provisioning and management of Azure Linux Virtual Machines, managed disks, and storage services.
- Design and administration of Azure networking, including VNets, subnets, NSGs, route tables, Load Balancers, and Application Gateways.
- Implementation of secure hybrid connectivity using VPN Gateway, ExpressRoute, and site-to-site connections.
- Integration of on-premises infrastructure with Azure, including identity federation and DNS resolution.
- Deployment of high availability and resilient architectures, leveraging availability sets, zones, and autoscaling.
- Use of Terraform with Azure to standardise and automate cloud provisioning.
- Administration of Azure Kubernetes Service (AKS) clusters, including node pools, scaling, upgrades, and lifecycle management.
- Deployment of containerised applications using Helm charts, YAML manifests, and CI/CD pipelines.
- Operational support and administration of Azure Red Hat OpenShift clusters.
- Experience with Google Cloud Platform (GCP) core services and Terraform for GCP infrastructure management.
- Support for MLOps workflows and integration of AI/ML services into cloud-native applications.
Key Skills:
- Experience with Azure Cloud & Hybrid Platforms.
- Strong understanding of containerisation principles using Docker and Podman.
- Administration of Azure Kubernetes Service (AKS) and Azure Red Hat OpenShift.
- Experience with Google Cloud Platform (GCP) and Vertex AI.
- Proficiency in Terraform for cloud provisioning.
- Knowledge of networking, security, and identity management in cloud environments.
- Ability to troubleshoot cluster, pod, and networking issues.
- Experience with CI/CD pipelines and application deployment.
Salary (Rate): £Market rates
City: Leeds
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Title: Cloud Platform Engineer
Location: Leeds / hybrid working
Duration: 6 months + extension (outside IR35)
Rate: £Market rates
We are seeking an experienced Cloud Platform Engineer to join a growing technology team responsible for designing, deploying, and supporting modern cloud infrastructure and container platforms. This role offers the opportunity to work across multi-cloud environments, hybrid infrastructure, Kubernetes platforms, and emerging AI technologies.
The key areas are as follows -
- Azure Cloud & Hybrid Platforms
- Provisioning and management of Azure Linux Virtual Machines, managed disks, and storage services (Blob, File, and Disk storage)
- Design and administration of Azure networking, including VNets, subnets, NSGs, route tables, Load Balancers, and Application Gateways
- Implementation of secure hybrid connectivity using VPN Gateway, ExpressRoute, and site-to-site connections
- Integration of on-premises infrastructure with Azure, including identity federation (Azure AD), DNS resolution, and authentication flows
- Deployment of high availability and resilient architectures, leveraging availability sets, zones, and autoscaling
- Use of Terraform with Azure (Azurerm provider) to standardise and automate cloud provisioning
- Containers & Kubernetes (AKS)
- Strong understanding of containerisation principles using Docker and Podman, including image creation, optimisation, and registry management
- Administration of Azure Kubernetes Service (AKS) clusters, including node pools, scaling, upgrades, and lifecycle management
- Deployment of containerised applications using Helm charts, YAML manifests, and CI/CD pipelines
- Configuration of persistent storage using Azure Disks, Files, and CSI drivers
- Implementation of monitoring and logging using Azure Monitor, Log Analytics, and container insights
- Troubleshooting cluster, pod, and networking issues to maintain platform reliability
- Azure Red Hat OpenShift (ARO)
- Operational support and administration of Azure Red Hat OpenShift clusters, ensuring platform stability and performance
- Management of projects (namespaces), RBAC policies, and security controls
- Deployment and maintenance of Operators to extend cluster functionality
- Configuration of persistent storage and integration with Azure storage services
- Integration with Azure identity services (Azure AD) and enterprise authentication mechanisms
- Support for application teams deploying workloads into OpenShift environments
- Google Cloud Platform (GCP) & Vertex AI
- Experience with Google Cloud Platform (GCP) core services, including Compute Engine, networking, IAM, and storage
- Use of Terraform (Google provider) to provision and manage GCP infrastructure in a consistent and scalable manner
- Understanding and utilisation of Vertex AI for building, deploying, and managing machine learning models
- Support for MLOps workflows, including model training, deployment, and monitoring within Vertex AI pipelines
- Integration of AI/ML services into cloud-native applications, enabling data-driven decision making
- Familiarity with GCP security and identity management, ensuring controlled access to AI and cloud resources