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:- 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,
- monitor, troubleshoot, and optimize cloud infrastructure, distributed systems, and containerized applications,
- 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,
- 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,
- good understanding of cloud-native architectures and containerized application environments,
- 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,
- 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
Skills Required
- Commercial experience working with cloud infrastructure or DevOps-oriented roles
- Strong hands-on experience with Kubernetes, preferably in Azure environments
- Solid experience within Microsoft Azure cloud ecosystems
- Practical experience with workflow orchestration platforms
- Strong Python skills for scripting and automation
- Experience with CI/CD pipelines and Infrastructure as Code
Xebia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Xebia and has not been reviewed or approved by Xebia.
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Healthcare Strength — U.S. offerings include health, dental, and vision insurance alongside an Employee Assistance Program, strengthening total compensation where available.
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Leave & Time Off Breadth — Vacation/PTO and paid holidays, with mentions of parental leave in certain regions, broaden time-off options and support work-life balance.
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Retirement Support — A U.S. 401(k) plan with matching is noted, enhancing long-term financial benefits as part of total rewards.
Xebia Insights
What We Do
We are a pioneering IT consultancy company, following 1 mission, 4 values, and 4 business principles. WHO WE ARE With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Founded in 2001, Xebia was the first Dutch organization to embrace the Agile way of working, with gurus like Jeff Sutherland. Since then, we have grown from a Java company into a full-service digital consulting company with 4500+ professionals working on a worldwide ambition. We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Low Code, and Microsoft. We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. WHAT WE DO ★ Digital Strategy ★ DevOps and SRE ★ Agile ★ Data and AI ★ Cloud ★ Microsoft Solutions ★ Software Technology ★ Security ★ Low Code ★ Xebia Academy HOW WE ARE ORGANIZED Xebia has launched specific labels, like GoDataDriven, Binx, Xpirit, Qxperts, Stackstate, Instruqt, Xccelerated, and Xebia Academy Complementing our organic growth, other specialized companies join our successful journey and also operate within the Xebia network under their own brand name, like Appcino, coMakeIt, g-company, Oblivion, PGS Software, and SwissQ. Together we are Xebia. With 17 offices in Atlanta, San Francisco, UK, Vietnam, Canada, Amsterdam, and Hilversum (the Netherlands), Belgium, Germany, Gurgaon, Jaipur, Hyderabad, Pune, Bangalore, Poland, Melbourne, Mexico, and Dubai. ✉️ [email protected]
