Azure Infrastructure & AI Services Engineer (REF3204L)

Company Description

The largest ICT employer in Hungary, Deutsche Telekom IT Solutions (formerly IT-Services Hungary, ITSH) is a subsidiary of the Deutsche Telekom Group. Established in 2006, the company provides a wide portfolio of IT and telecommunications services with more than 5000 employees. ITSH was awarded with the Best in Educational Cooperation prize by HIPA in 2019, acknowledged as one of the most attractive workplaces by PwC Hungary’s independent survey in 2021 and rewarded with the title of the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

Job Description

Brief Description:

We are seeking a skilled Azure Infrastructure Engineer to join our team. You will play a pivotal role in provisioning and managing a wide range of Azure services, with a particular focus on AI-driven solutions. Your responsibilities will include setting up and operating Azure services, virtual machines, and supporting infrastructure for AI projects.

Key Responsibilities:

• Provision and manage Azure subscriptions, network security groups, application gateways, and other Azure services.
• Configure and maintain VMs, including monitoring, patching, and incident management.
• Set up and manage database servers (MS-SQL Server, PostgreSQL) and associated infrastructure.
• Develop and maintain Infrastructure as Code (IaC) solutions using Azure DevOps, Bicep, YAML, and JSON.
• Automate tasks and create scripts using PowerShell and Bash.
• Collaborate with the AI team to ensure seamless integration of infrastructure components into AI projects.

Qualifications

Required Skills:

• Language: German (C level required) and English (at least B1 level).
• Azure Expertise: Extensive experience with Azure services, with a strong focus on AI-related services.
• IaC & DevOps: Proficiency in Azure DevOps, Bicep, YAML, and JSON for infrastructure automation.
• Scripting: Strong scripting skills in PowerShell and Bash.
• Version Control: Experience with Git and CI/CD pipelines.
• Database: Deep understanding of database systems, especially MS-SQL Server and PostgreSQL. Experience with database design, administration, and ETL processes.
• AI: Familiarity with AI concepts and experience working on AI-related projects.
• Communication & Collaboration: Excellent communication skills and ability to work effectively in a team.
• Technical Skills: Knowledge of Windows and Linux operating systems.