Junior Azure DevOps

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:

• monitoring Azure infrastructure and Grafana dashboards,


• responding to alerts and performing initial incident triage,


• investigating issues using logs and monitoring tools,


• executing standard remediation procedures and escalating complex incidents,


• documenting incidents, actions taken and troubleshooting activities,


• supporting Azure resources and DevOps operations,


• participating in on-call rotations and collaborating with engineering teams.

Your profile:

• 1-2 years of experience with Microsoft Azure,


• experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,


• basic knowledge of Azure Monitor, Azure Log Analytics and Grafana,


• understanding of Azure infrastructure and cloud monitoring,


• familiarity with Azure DevOps, Git and basic PowerShell or Bash scripting,


• experience with ticketing systems and incident management,


• strong analytical and problem-solving skills,


• attention to detail and ability to follow established procedures,


• good communication skills and ability to work in a team,


• willingness to learn new technologies and develop DevOps skills,


• good command of technical English (at least B2 level).
  
  Work from the European Union region and a work permit are required.

Nice to have:

• 
  

  experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,

  
  


• interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision