Civils de la Défense - Ministère des Armées et des Anciens combattants
Open positions
CLOUD - SRE - COMPUTE - SPECIALISATION KUBERNETES
SRE engineer for the French Ministry of Defense's ministerial cloud, owning the Kubernetes orchestration layer in production: cluster lifecycle, KubeVirt VMs, GPU inference workloads, CNI networking and security (RBAC, OPA/Kyverno, Vault) for a large-scale multi-tenant platform.
CLOUD - SRE DATA SERVICES
SRE for the Data Services team building a secure ministry-wide cloud platform: deploying and operating message brokers (RabbitMQ/Kafka), a managed PostgreSQL DBaaS, and Redis-style caches across a geo-distributed Kubernetes estate. Day to day: provisioning, upgrades, backups, observability, SLO/error-budget tracking, and production on-call.
CLOUD - SRE STOCKAGE
Storage SRE for the French Ministry of Defense's emerging ministerial cloud operator: deploying, operating, and architecting production Ceph clusters (multi-site, block storage for Kubernetes/VMs), running observability and resilience tests, operating by SLOs, and handling N3/N4 incidents and on-call. Core stack: Ceph/RADOS/RBD, Linux, Kubernetes, Go/Python, Terraform/Ansible.
CUISINIER
Vos missions en quelques mots Le pôle de Phalsbourg est situé à Phalsbourg, au camp La Horie. Vous réaliserez les opérations élémentaires techniques de préparation à la production (habiller les poissons, tailler les…
CLOUD - SRE STOCKAGE - SPECIALISATION CEPH
Site Reliability Engineer for object storage at the French Ministry of Armed Forces' sovereign cloud: deploy and operate a large-scale S3-compatible (Ceph) platform, run end-to-end backup/DR, observability, N3/N4 incidents and on-call, using Linux, Go/Python, and Terraform/Ansible.
CHEF DE CUISINE
Vos missions en quelques mots Affecté au sein du détachement situé à Mont-Agel du pôle commissariat de Draguignan, sous l’autorité du chef de site, l’agent a pour missions : - de diriger l’équipe de cuisine ; -…
Data scientist
A data scientist at the French Ministry of Armed Forces in Paris who turns big data and ministry data into insight for decision-makers: designing statistical models, building data-mining and machine-learning algorithms, exploring/analyzing data, and raising staff awareness of data quality, AI and Big Data.