Senior Azure Platform Engineer

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.  

 

You will be:

• designing, implementing, and operating secure and scalable Azure platform capabilities,
• building and managing infrastructure using Terraform and Infrastructure as Code,
• leading Azure networking, including connectivity, routing, segmentation, and hybrid infrastructure,
• implementing security policies, governance, and platform guardrails,
• applying the Azure Well-Architected Framework to drive platform design and continuous improvement,
• designing and maintaining CI/CD and GitOps processes for infrastructure,
• developing automation and observability solutions using Azure-native tools and scripting,
• building developer-facing platform capabilities, reusable templates, and self-service solutions,
• applying Generative AI to infrastructure development, diagnostics, automation, and operational troubleshooting,
• collaborating with technical teams, mentoring engineers, and supporting the adoption of platform engineering practices.

 

 

Your profile:

• 7+ years of experience in cloud infrastructure, cloud networking, and platform engineering, with demonstrable Azure delivery at scale,
• experience applying the Azure Well-Architected Framework across Security, Reliability, Cost Optimization, Operational Excellence, and Performance Efficiency,
• deep hands-on experience with Terraform, including module design and state management; knowledge of ARM/Bicep is a plus,
• strong hands-on experience with Azure networking and security, including connectivity, segmentation, hybrid infrastructure, identity, governance, and security controls,
• experience designing and managing infrastructure CI/CD and GitOps processes, with strong scripting and automation skills in Python or PowerShell,
• deep experience with Azure observability, including monitoring, logging, application insights, and alerting,
• experience building developer-facing platforms, templates, onboarding flows, or similar developer experience improvements,
• practical experience applying Generative AI tools to development, diagnostics, automation, or infrastructure tasks,
• strong ownership and customer-oriented mindset, with excellent communication and collaboration skills and the ability to influence across teams,
• ability to work effectively in ambiguous environments, solve complex problems, proactively share knowledge, and mentor others,
• experience working in Agile teams, including shaping epics and stories in Jira, and comfortable working across Windows and Linux environments,
• good command of English (min. B2).

• 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,
• iInterest 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 – Technical Interview – Client Interview – Decision