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# Plateform Engineer

- **Company:** Winside Technology
- **Location:** Lille, France
- **Contract:** Permanent contract
- **Skills:** Apache HTTP Server, Cloud Computing, Data Infrastructure, Extract Transform Load (ETL), Prometheus, Datadog, Delivery Pipeline, Snowflake, Gitlab, Data Lakes, Gitlab-ci, Apache Kafka, Docker
- **Published:** July 22, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=c07ac80f4a4bffeb

## About the Role

Profil recherchéCompétences indispensablesExcellente maîtrise d'Apache Kafka et Kafka Connect.

Solide expérience sur Kubernetes et Docker.

Maîtrise de GitLab CI/CD.

Expérience des approches GitOps et Infrastructure as Code.

Connaissance des outils d'observabilité (Prometheus, Datadog, OpenTelemetry).

Compétences appréciéesExpérience sur des projets de Data Platform, Data Lake ou architectures événementielles.

Connaissance de Kafka Resource Operator (KRO).

Sensibilité aux problématiques FinOps et aux environnements Cloud.

Connaissances de technologies telles que Snowflake ou Apache Iceberg.

Qualités attenduesEsprit d'équipe et sens de la collaboration.

Forte orientation service et Developer Experience.

Bonnes capacités de communication et de vulgarisation.

Autonomie, curiosité et force de proposition.

## Description

Vous rejoindrez une équipe Agile engagée dans la construction d'une plateforme événementielle moderne visant à remplacer les architectures ETL historiques. L'objectif est de proposer une plateforme Kafka en libre-service afin d'accélérer le développement des équipes techniques et de renforcer leur autonomie.

Vos missionsConcevoir et mettre en ?uvre une plateforme Kafka orientée self-service.

Développer et maintenir les pipelines CI/CD sous GitLab.

Automatiser le provisioning des ressources via une approche GitOps / Infrastructure as Code.

Participer à la mise en place des outils d'observabilité et de monitoring.

Rédiger la documentation technique et les bonnes pratiques.

Accompagner et supporter les équipes utilisatrices de la plateforme.

Contribuer à l'évolution d'une Data Platform moderne.


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