Posted 18 days ago
Platform Engineer
AI Summary
Platform Engineer at a digital engineering partner focusing on event-driven platforms, observability, and safe deployment practices.
About this role
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:
- Developing a platform supporting event-driven architecture and parallel workflows.
- Building end-to-end traceability and observability for event flows.
- Implementing resilience patterns such as retries, circuit breakers, and flow control.
- Supporting canary deployments, A/B testing, and safe rollout strategies.
- Developing tooling around SDK generation and publishing contracts based on Avro.
Your profile:
- Experience as a Platform Engineer, DevOps Engineer, or SRE.
- Hands-on experience with event-driven systems and production environments.
- Strong knowledge of observability, ideally with OpenTelemetry or similar tools.
- Experience with safe and controlled deployment practices.
- Independence, ownership, and the ability to collaborate with multiple technical teams.
- Work from the European Union region and a work permit are required.
Nice to have:
- Experience with GCP and Pub/Sub.
- Knowledge of Avro, schema contracts, or SDK publishing.
- Experience with reliability engineering and platform operations at scale.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision
