Cloud Engineer for Global Infrastructure
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
You will be:
- part of the Global Infrastructure team responsible for managing and securing Xebia’s global cloud and on-premise environments,
- working in an international environment with distributed technical teams,
- contributing to standardization, security, and compliance across global infrastructure,
- taking ownership of cloud-related operational and automation tasks in Azure.
Your profile:
- strong knowledge of Azure Cloud,
- hands-on experience with PowerShell scripting and Azure Runbooks,
- good understanding of IT Security principles and best practices,
- ability to work independently and take ownership of tasks,
- strong communication and collaboration skills,
- english proficiency at C1 or C2 level,
-
Work from the European Union region and a work permit are required.
Nice to have:
- experience with Google Cloud Platform (GCP) administration,
- knowledge of GitHub administration and workflows,
- familiarity with Amazon Web Services (AWS),
- experience working in complex, multicultural environments.
Recruitment Process:
CV review – HR call – Technical Interview – Decision
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