JOB DESCRIPTION - SENIOR DATAOPS / KUBERNETES EXPERT - CDI (M/F)

Salary: 60000Experience: 8 years minimumLevel: Senior / ExpertStart Date: ASAPSector: Banking / Critical environmentCDI1. MISSION CONTEXT As part of the reinforcement of our IT team, we are looking for a Senior DataOps / Kubernetes Expert to intervene in a demanding banking environment, oriented towards production, operations, industrialization, and high availability. The candidate must demonstrate genuine DataOps experience, with strong expertise in the operation of Data platforms, middleware administration, and the management of critical production environments. The position is strongly oriented towards RUN & BUILD, N2/N3 support, and complex incident resolution.2. MAIN MISSIONS * Ensure the maintenance of operational conditions for DataOps platforms. * Administer and operate Kubernetes clusters in production. * Handle complex N2/N3 incidents. * Diagnose and resolve availability, performance, and stability issues. * Administer and optimize Kafka, MongoDB, and Redis environments. * Industrialize and automate operations. * Participate in the improvement of CI/CD pipelines. * Implement monitoring and observability best practices. * Participate in architectural evolutions, migrations, and version upgrades. * Perform Root Cause Analysis (RCA) and implement sustainable corrective actions. * Guarantee the reliability, security, and high availability of the platforms.3. INDISPENSABLE TECHNICAL SKILLS SkillExpected LevelDataOpsSenior / ExpertKubernetesExpertKubernetes Certification (ideally CKA)MandatoryKafkaVery good levelMongoDBConfirmedRedisConfirmedLinux / UnixConfirmedRUN / ProductionExpertSupport N2/N3ExpertBUILD / IndustrializationConfirmed to expertAutomation / ScriptingConfirmedCI/CD / GitConfirmedDocker / ContainerizationConfirmedMonitoring / ObservabilityConfirmedComplementary technologies appreciated: Helm, Prometheus, Grafana, ArgoCD, Ansible, Terraform, GitLab, and microservices architectures.4. SEARCHED PROFILE * Minimum 8 years of professional experience in a DataOps environment. * Significant experience in the operation and administration of Data platforms. * Confirmed operational expertise in Kubernetes. * Concrete experience with Kafka, MongoDB, and Redis. * Solid experience in RUN & BUILD. * Proven experience in N2/N3 production support. * Accustomed to critical environments with high availability constraints. * Experience in the banking sector or a regulated environment is highly appreciated. * Kubernetes certification mandatory, ideally CKA.5. ENGLISHFluent English is indispensable, both written and spoken. Ability to participate in technical meetings, crisis meetings, and daily exchanges with international teams.6. EXPECTED QUALITIES * Strong production and DataOps orientation. * Autonomy and ability to manage complex incidents. * Rigor and analytical mindset. * Reactivity and sense of responsibility. * Ability to work in a demanding environment. * Proactive in automation and continuous improvement.7. PRIORITY SELECTION CRITERIA 1. Minimum 8 years of experience. 2. Genuine DataOps expertise: no generalist DevOps profiles. 3. Kubernetes expertise in a production environment. 4. Kubernetes certification mandatory (ideally CKA). 5. Very good mastery of Kafka. 6. Concrete experience with MongoDB and Redis. 7. Strong RUN / BUILD and N2/N3 support experience. 8. Experience with critical environments. 9. Fluent English. 10.