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Join us as a “Public Cloud Support Engineer " at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.
Job Responsibility:
Provision of technical support for the service management function to resolve more complex issues for a specific client of group of clients
Develop the support model and service offering to improve the service to customers and stakeholders
Execution of preventative maintenance tasks on hardware and software and utilisation of monitoring tools/metrics to identify, prevent and address potential issues and ensure optimal performance
Maintenance of a knowledge base containing detailed documentation of resolved cases for future reference, self-service opportunities and knowledge sharing
Analysis of system logs, error messages and user reports to identify the root causes of hardware, software and network issues, and providing a resolution to these issues by fixing or replacing faulty hardware components, reinstalling software, or applying configuration changes
Automation, monitoring enhancements, capacity management, resiliency, business continuity management, front office specific support and stakeholder management
Identification and remediation or raising, through appropriate process, of potential service impacting risks and issues
Proactively assess support activities implementing automations where appropriate to maintain stability and drive efficiency
Actively tune monitoring tools, thresholds, and alerting to ensure issues are known when they occur
Azure: Expertise in VM scale sets, Storage Accounts (Blob/File/Table), AZLAN networking, AKS cluster management, Azure CLI scripting, Entra ID integration, Azure Automation runbooks, monitoring/log analytics, and RBAC
GCP: Proficiency in Compute Engine instance groups, Cloud Storage bucket lifecycle management, VPC subnetting, IAM roles/service accounts, GKE cluster deployment, Stackdriver custom logging, and Cloud Functions automation
Any 2 Certification: AWS: AWS Solution Architect (Associate or Professional) / Azure: Azure Administrator (AZ-104) or equivalent/ GCP: GCP Associate Cloud Engineer (ACE) or equivalent
Nice to have:
Experience with CI/CD tools like CloudFormation, Jenkins, Gitlab, Chef, In Spec, and Terraform for automated deployments and infrastructure as code
Ability to develop automation scripts (Python, PowerShell, Bash) and custom tools to streamline repetitive cloud operations tasks
Proficiency in monitoring and observability tools for multi-cloud environments, such as Stack driver (GCP), CloudWatch (AWS), and Azure Monitor, including log analysis and custom alerting