Senior DevOps/Platform Engineer

About the project:

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.

We are looking for Azure DevOps/ Platform Engineer to join a project delivered for our international client operating in a safety and compliance-focused technology environment. The client is building a modern cloud-native platform that will serve as the foundation for a scalable product ecosystem, enabling rapid delivery, operational excellence, and future platform growth.

This role is a great opportunity to work on the foundational cloud platform supporting a new product initiative. You will be responsible for establishing the Azure cloud foundation, DevOps practices, and Platform-as-a-Service environment that enables engineering teams to deliver high-quality software in an efficient, secure, and scalable manner. The project combines platform engineering, cloud infrastructure, automation, observability, and DevOps practices within a modern Azure ecosystem.

You will play a key role in establishing an \"automate everything\" and \"you build it, you run it\" engineering culture, delivering Infrastructure as Code, CI/CD pipelines, and operational tooling that allows teams to ship feedback-ready increments on a continuous basis.

You will be:

• set up and maintain Azure Platform-as-a-Service infrastructure including Azure Container Registry, Azure Container Apps, Azure SQL, Storage Accounts, and Azure Entra External Identities,
• design, implement, and maintain CI/CD pipelines supporting modern software delivery practices,
• build platform-agnostic containerized deployment solutions to support future platform evolution and handover activities,
• embed security, dependency management, compliance controls, and quality validation mechanisms into delivery pipelines,
• collaborate with client cloud and security teams to provision and manage required infrastructure components,
• implement Infrastructure as Code solutions to ensure environments are reproducible, auditable, and maintainable,
• support engineering teams with platform capabilities, deployment automation, and operational best practices,
• contribute to platform reliability, scalability, security, and operational excellence initiatives,
• participate in architecture discussions related to cloud-native platforms, DevOps practices, and operational models,
• support troubleshooting, root-cause analysis, and continuous improvement activities,
• depending on seniority, take ownership of technical areas, support architectural decisions, and mentor less experienced team members,

Your profile:

• strong commercial experience in platform engineering, cloud engineering, or DevOps-oriented roles,
• strong hands-on experience with Microsoft Azure and Platform-as-a-Service offerings,
• practical experience with Azure Container Apps, Azure Container Registry, Azure SQL, Azure Storage, and Azure Entra identity services,
• strong experience implementing and maintaining CI/CD pipelines using GitHub Actions or equivalent technologies,
• hands-on experience with containerization technologies, particularly Docker,
• strong experience with Infrastructure as Code solutions such as Bicep, Terraform, or similar tools,
• understanding of security, compliance, dependency management, and software quality practices within cloud environments,
• experience working within Agile delivery environments and sprint-based development processes,
• ability to collaborate effectively with cloud, security, infrastructure, and development teams,
• strong communication, stakeholder management, and problem-solving skills,
• experience supporting scalable, reliable, and secure cloud-native platforms,
• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
• Work from the European Union region and a work permit are required.

Nice to have:

• experience operating and supporting Azure API Management environments,
• exposure to MLOps practices and AI platform hosting patterns,
• familiarity with LLM hosting architectures and agentic AI workloads,
• experience designing or preparing platforms for multi-region deployments,
• knowledge of hub-and-spoke cloud networking architectures,
• experience contributing to platform engineering strategies and internal developer platform initiatives,
• 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