Senior Azure Platform Engineer

Job description

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:** - 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