10 of 10 Auto-Scaling Jobs in England

network protocols and security hardening. Proven experience using AWS Cloud Solutions and services such as Ec2, S3, Lambda, EKS, API Gateway, ALB, API Gateway, Autoscaling etc In-depth knowledge in Infrastructure-as-code tools (such as Ansible, Terraform, etc.) Mandatory experience in creating automation framework using Ansible Strong ...

Connect services. Also advantageous: Broad technology experience with pragmatic application; Azure cloud & Entra ID expertise; Ability to translate complex technical issues; Experience managing auto-scaling & financially-efficient systems; SQL and NoSQL database experience (SQL Server, MySQL, DynamoDB, MongoDB). What's next? Apply today, so we can make ...

providers.VMSS Automation Design and implement automation workflows for ArcGIS Enterprise configuration within Azure Virtual Machine Scale Sets (VMSS). Build DSC scripts tailored for autoscaling environments, ensuring that new VM instances automatically configure and register with ArcGIS Server sites. Automate scaling event responses, ensuring ArcGIS Enterprise components remain fully ...

VMSS Automation Design and implement automation workflows for ArcGIS Enterprise configuration within Azure Virtual Machine Scale Sets (VMSS). Build DSC scripts tailored for autoscaling environments, ensuring that new VM instances automatically configure and register with ArcGIS Server sites. Automate scaling event responses, ensuring ArcGIS Enterprise components remain fully ...

hands-on cloud engineering experience is essential - (this is a K8s-first role) + cluster add-ons, networking (Cilium), policy engines (Kyverno), and autoscaling (Karpenter). Build out - Namespace-as-a-Service capabilities Review and challenge Kubernetes-related architectural proposals Debug complex issues across the Kubernetes stack using structured root ...

hands-on cloud engineering experience is essential - (this is a K8s-first role) + cluster add-ons, networking (Cilium), policy engines (Kyverno), and autoscaling (Karpenter). Build out - Namespace-as-a-Service capabilities Review and challenge Kubernetes-related architectural proposals Debug complex issues across the Kubernetes stack using structured root ...

hands-on cloud engineering experience is essential - (this is a K8s-first role) + cluster add-ons, networking (Cilium), policy engines (Kyverno), and autoscaling (Karpenter). Build out - Namespace-as-a-Service capabilities Review and challenge Kubernetes-related architectural proposals Debug complex issues across the Kubernetes stack using structured root ...

Entra ID, Conditional Access, MFA, RBAC, Defender, network controls. Lead deployments and migrations from on-prem VDI to AVD. Optimise performance and cost using autoscaling, monitoring, and usage analysis. Produce HLD/LLD documentation, runbooks, and handover materials. Enable operational teams and support early-life troubleshooting. Collaborate with cloud, security ...

data analytics workloads via partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies. Tune containerised microservices by recalibrating CPU/memory requests, improving autoscaling efficiency, and restructuring workload placement on cost-efficient compute. Redesign workflow orchestration pipelines for parallel execution, higher concurrency, and offloading heavy tasks to lower-cost … minimise cold data retention costs. Improve relational database performance through index tuning, connection optimisation, and instance right-sizing. Enhance horizontally scalable database performance via autoscaling policies, index improvements, and mitigation of read/write hotspots. Build dashboards, budgets, alerts, and guardrails to drive ongoing cost governance and financial accountability. Collaborate ...

data analytics workloads through partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies. Tune containerised microservices by recalibrating CPU/memory requests, improving autoscaling efficiency, and restructuring workload placement on cost efficient compute. Redesign workflow orchestration pipelines for parallel execution, increased concurrency, and offloading heavy tasks to lower cost … minimise cold data retention costs. Improve relational database performance through index tuning, connection optimisation, and instance right sizing. Enhance horizontally scalable database performance via autoscaling policies, index improvements, and mitigation of read/write hotspots. Build dashboards, budgets, alerts, and guardrails to drive ongoing cost governance and financial accountability. Collaborate ...