Mid DevOps

You will be:

• develop, maintain, and improve cloud-native infrastructure and platform solutions within Microsoft Azure environments,
• build and support Kubernetes-based platforms, preferably using Azure Kubernetes Service (AKS),
• implement and maintain workflow orchestration solutions using technologies such as Argo Workflows, Temporal, Airflow, or similar tools,
• develop Python-based automation scripts, operational tooling, and workflow components,
• support integration and messaging solutions using technologies such as Azure Service Bus, Kafka, Event Hub, or similar event-driven platforms,
• contribute to CI/CD pipelines, GitOps workflows, Infrastructure as Code, and deployment automation practices,
• collaborate with software engineers, DevOps teams, architects, and stakeholders to deliver scalable and maintainable platform solutions,
• support cloud modernization initiatives and continuous improvement of engineering standards and operational practices,
• participate in technical discussions related to cloud-native architecture, automation, scalability, reliability, and observability,
• ensure high quality and operational stability through automation, monitoring, testing, and proactive support activities,
• depending on seniority, take ownership of technical areas, support architectural decisions, and mentor less experienced team members,

Your profile:

• commercial experience working with cloud infrastructure, platform engineering, or DevOps-oriented roles,
• strong hands-on experience with Kubernetes, preferably within Azure Kubernetes Service (AKS) environments,
• solid experience working within Microsoft Azure cloud ecosystems,
• practical experience with workflow orchestration platforms such as Argo Workflows, Temporal, Airflow, or similar technologies,
• strong Python skills for scripting, automation, operational tooling, and workflow development,
• good understanding of integration and messaging systems, including Azure Service Bus, Kafka, Event Hub, or comparable event-driven technologies,
• experience with CI/CD pipelines, Infrastructure as Code, GitOps practices, and deployment automation,
• experience with monitoring, observability, logging, and operational support practices,
• strong communication skills and the ability to work effectively with both technical and non-technical stakeholders,
• consultative mindset with the ability to collaborate in complex international environments,
• strong problem-solving skills and proactive engineering attitude,
• team-player mentality with strong collaboration capabilities across distributed engineering teams,
• experience with Git and modern software delivery workflows,

Nice to have:

• experience working within enterprise-scale cloud transformation initiatives,
• knowledge of distributed systems and event-driven architecture patterns,
• experience with security, compliance, and operational governance in cloud environments,
• familiarity with modern platform engineering practices and internal developer platforms,
• 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,
• 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.

Recruitment Process:

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

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.