Senior Infrastructure Engineer (GCP / Event Streaming)

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:

• Designing and developing infrastructure based on GCP Pub/Sub.
• Provisioning topics and subscriptions while ensuring security, stability, and scalability.
• Implementing and developing a schema registry and supporting data contracts across teams.
• Ensuring auditability, replayability, and reliability of the event bus.
• Supporting monitoring, troubleshooting, and ongoing production maintenance.

Your profile:

• Hands-on experience with GCP, especially Pub/Sub.
• Experience working with event-driven environments and distributed systems.
• Knowledge of IAM, retries, dead-letter topics, monitoring, and observability.
• Experience with data contracts, Avro, or schema registry would be a strong advantage.
• Independence, ownership, and readiness to work in an international environment.
• Work from the European Union region and a work permit are required.

Nice to have:

• Experience with large-scale event bus platforms.
• Practical experience in auditability and data governance.
• Familiarity with observability and incident analysis tools.

Recruitment Process: