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Xebia is seeking a seasoned DevOps/Platform Engineer to lead cloud platform initiatives in the EU region. You will own a shared AWS platform across accounts and regions, and drive CI/CD improvements while mentoring engineers to raise delivery quality.
You will collaborate with architects on migrations, security, automation, and best practices, enabling scalable, compliant deployments.
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 17 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 ING, Millenium Bank, Play, Wavin, Arabian Drilling, FedEX, Leroy Merlin, Edenred, 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
leading the DevOps/Platform Engineering team, coordinating technical delivery, mentoring team members, and supporting their development,
designing, building, and maintaining a shared AWS platform across multiple accounts, regions, teams, and environments,
driving the development and continuous improvement of container orchestration and CI/CD platforms,
establishing standardized infrastructure provisioning, deployment strategies, and reusable engineering solutions,
overseeing cloud infrastructure architecture, networking, security, and cross-account connectivity,
driving infrastructure modernization, security improvements, and compliance initiatives,
collaborating with architects and engineering teams on technical decisions, PoCs, migrations, and platform evolution,
promoting engineering standards, cost optimization, knowledge sharing, and best practices across teams.
experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,
CV review – HR call – Interview – Client Interview – Decision