$ cat jobs/cloud-engineer-azure-telefonicatech-3862d6e4c0f6.json
Cloud Engineer - Azure
Telefónica Tech (part of the Telefónica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 exceptionally skilled employees and +60 nationalities. We serve more than 5.5m customers every day in over 175 countries, with a global ecosystem of market-leading partners. Global strategic hubs: Spain, Brazil, the UK, Germany. The Telefónica Tech UK&I hub has an end- to-end portfolio of market leading services and develops integrated technology solutions to accelerate digital transformation through: Cloud, Data & AI, Enterprise Applications, Workplace Services and Cyber Security & Networking. Values: Open, Trusted and Bold Trusted Partners: Microsoft: Top 3 Service Providers, Azure Expert Status, Fastrack & Inner Circle Partner HPE: Platinum Partner – FY23 UK&I Solution Provider of the Year Palo Alto & Crowdstrike: part of our NextDefense Cyber Security Portfolio Fortinet: Elite VIP Program – one of only 2 in the UK AWS: Advanced Solution & Managed Service Provider Program Azure Cloud Engineer - Level 3 We are seeking a highly skilled and motivated Level 3 Azure Engineer to join our growing team. As a Level 3 Azure Engineer, you will be responsible for implementing, managing, and optimizing a wide variety of cloud solutions on the Microsoft Azure platform (IaaS, PaaS, SaaS) within our Managed Service Capability which support our customer applications and services. The candidate should have prior experience presenting Cloud services and solutions to technical and non-technical audiences, as well as communicating the benefits to their organisation, with the goal of driving growth for the Telefónica Tech UK&I Cloud practise. Key Responsibilities: Infrastructure Deployment: Deploy, configure, and manage Azure infrastructure components, including Virtual Machines, Storage, Networking, and Identity with Entra ID. Implement Infrastructure as Code (IaC) using tools like Terraform and Bicep templates for efficient and repeatable deploymen
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