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# Lead Database Infrastructure & Platform Engineer sur Lille H/F

- **Company:** Amazon
- **Location:** Lille, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon Elastic Compute Cloud, Apache HTTP Server, Configuration Management, Databases, Data Infrastructure, Amazon DynamoDB, Elasticsearch, Identity and Access Management, Python (Programming Language), PostgreSQL, MySQL, Performance Tuning, Ansible, Datadog, Google Cloud, Delivery Pipeline, Infrastructure as Code (IaC), AWS Aurora, Druid, Cloudwatch, Terraform
- **Published:** July 25, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/81689376.html

## About the Role

Niveau de compétence

Compute (Amazon EC2)

CloudWatch, Datadog

Python

AWS Aurora

Réseau & Sécurité

Terraform

Notions GCP

Support N3 & Troubleshooting

Apache Druid

Amazon DynamoDB

Configuration Management

Elasticsearch, Clonage
Ansible
Cluster
Amazon EC2
Google cloud platform
AWS
Notion
Optimisation des performances
Python
Terraform
MySQL

## Description

Administration & Tuning : Administration avancée d'Amazon Aurora (Postgres/MySQL) et DynamoDB. Optimisation des performances (indexation, requêtage) et gestion fine de la scalabilité.

 - Spécialisation Clusters : Responsable du déploiement, du MCO et de l'optimisation de nos clusters Apache Druid et Elasticsearch (ELS). Automatisation (Self-Service) : Industrialisation du provisioning des BDD via Terraform/Ansible pour permettre aux Data Engineers une autonomie totale en "Self-Service".
 - Observabilité : Mise en place et maintien des dashboards de santé et des alertes critiques (Latence, IOPS, taux de remplissage) pour garantir une proactivité totale.
 - Evolution EC2 : Gestion et évolution de la flotte de serveurs Amazon EC2 (patching de sécurité, durcissement d'OS, automatisation des images).
 - Application des politiques de sécurité (IAM, chiffrement au repos et en transit) sur l'ensemble du parc de données.
 - Monitoring et optimisation des coûts liés au compute et au stockage (instances réservées, nettoyage, cycle de vie).
 - Développement de scripts et d'outils internes en Python pour automatiser les tâches récurrentes (clonage de bases, anonymisation de données, maintenance de Druid).
 - Infrastructure as Code (IaC) : Conception de modules Terraform réutilisables pour le déploiement industrialisé d'instances EC2, clusters Druid et bases RDS.
 - Self-Service Data Platform : Participer à la création d'une "Internal Developer Platform" permettant aux Data Engineers de provisionner leurs ressources en autonomie via des APIs ou des pipelines CI/CD.


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