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.
- developing and enhancing a platform built around event-driven architecture and parallel workflows,
- building and improving observability and end-to-end traceability across distributed systems,
- implementing resilience and reliability mechanisms to support stable and scalable services,
- contributing to deployment strategies ensuring safe and controlled releases,
- developing and maintaining tooling supporting SDK generation and contract management.
Your profile:
- experience as a Platform Engineer, DevOps Engineer, Site Reliability Engineer, or in a similar role,
- experience with GCP and Pub/Sub,
- hands-on experience working with event-driven systems in production environments,
- strong knowledge of observability concepts and tools (e.g. OpenTelemetry or similar),
- experience with deployment strategies and safe rollout practices,
- ability to work independently with a strong sense of ownership, while collaborating effectively across technical teams,
- practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
- good command of English (min. B2).
Work from the European Union region and a work permit are required.
Nice to have:- familiarity with Avro, schema contracts, or SDK publishing,
- experience with reliability engineering and platform operations at scale,
- 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.
CV review – HR call – Technical Interview – Client Interview – Decision
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