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# Expert Monitoring & Observabilité (Datadog / Splunk) H/F

- **Company:** PROPULSE IT
- **Location:** Paris, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Middleware, Infrastructure as a Service (IaaS), SQL Databases, Datadog, Splunk, Servicenow
- **Published:** July 23, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=da4ff3f8ab110280

## About the Role

Expérience

 * Minimum 7 ans en monitoring, observabilité ou production IT.
 * Pratique récente et confirmée de Datadog et Splunk, avec capacité à configurer directement les outils (pas seulement consulter des dashboards).
 * Expérience de supervision d'applications critiques.

Compétences techniques

 * Datadog (APM, dashboards, alerting, monitors) et Splunk (indexation, dashboards, alertes).
 * Architectures applicatives distribuées : IaaS, conteneurs, API, middlewares.
 * Bases SQL : lecture de requêtes, analyse de performance.
 * Processus ITIL ; ServiceNow apprécié.

Savoir-être
Autonomie, leadership opérationnel, sens du service, aisance en contexte matriciel international.
Anglais et français courants (langue de travail : anglais).

Compétences clés (mots-clés)
Outils : Datadog, Splunk, ServiceNow
Domaines : Observabilité, APM, Monitoring, Alerting, Dashboards, Supervision applicative
Technique : SQL, Architectures distribuées, Conteneurs, API, ITIL

## Description

Dans ce cadre, nous recherchons un expert Monitoring & Observabilité pour concevoir, déployer et faire évoluer le dispositif de supervision du nouveau TMS, en intervenant dès les phases de Build pour garantir un niveau de supervision suffisant avant mise en production., * Définir la stratégie d'observabilité (métriques, logs, traces, indicateurs de disponibilité, performance, capacité).

 * Concevoir et déployer la supervision Datadog : dashboards Run/Infra/Applicatif/Management, Service Maps, monitors et alertes composites.
 * Concevoir et déployer la supervision Splunk : collecte et indexation des logs, dashboards, alertes de détection d'incidents.
 * Construire des indicateurs combinant technique et métier (volumes, taux de succès, temps de traitement).
 * Industrialiser l'alerting : seuils pertinents, criticité, circuits d'escalade, réduction des faux positifs.
 * Accompagner le passage Build ? Run : dossier de supervision, documentation, formation des équipes.


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