Project role for Lead Elastic Observability Consultant - Frankfurt, Germany (3days in a month)

AMM ENTERPRISE GmbH
Ansprechpartner: Priya Badiger
Frankfurt,  Deutschland
80% RemoteFreiberuflichab sofortDauer 6 Monate
ITAmazon Elastic Compute CloudElasticsearchAzure Machine LearningDatadogGrafanaAmplitude AnalyticsElastic BeanstalkSplunkNew RelicArtificial Intelligence Markup Language (AIML)Amazon Elastic Mapreduce (EMR)Elastic Load Balancing

Beschreibung

Job Description:

Required Technical Skill Set:
Elastic Stack (Elasticsearch, Kibana, Elastic Observability, Elastic APM, Elastic Security); full-stack observability; logs, metrics, traces, infrastructure, application, cloud, endpoint and security monitoring; Elastic AI/ML, anomaly detection, root-cause analysis, AI Assistant and observability analytics; telemetry strategy, event correlation, service mapping, dependency analysis and dashboards; ITSM, CMDB, automation and enterprise monitoring integrations.

Desired Competencies (Technical/Behavioral Competency)
Must-Have
  • Hands-on depth in the Elastic Stack: Elasticsearch, Kibana, Elastic Observability, Elastic APM, Elastic Security – practical, not conceptual.
  • Full-stack observability architecture across logs, metrics, traces, APM, infrastructure, cloud, endpoints, and security telemetry.
  • Elastic AI/ML: anomaly detection, root cause analysis, observability analytics, Elastic AI Assistant.
  • Client-facing consulting: workshop facilitation, architecture design, stakeholder management up to executive level.
  • PoC planning, execution and validation, plus target architecture and adoption roadmap.
  • Nice to have: ITSM/CMDB integration (OpenText), AIOps/GenAI in IT operations, Elastic certifications, insurance/financial sector experience.
  • Great communication skills

Responsibility of / Expectations from the Role
1. Lead customer discovery workshops, stakeholder discussions and requirements gathering as the primary customer interface.
2. Assess the current Elastic deployment, telemetry coverage, integrations and operational maturity; identify capability gaps and optimization opportunities.
3. Define the target-state Elastic Observability architecture and prioritized adoption and implementation roadmap.
4. Design and validate end-to-end observability, including service mapping, correlation, operational intelligence and automation approaches across all telemetry domains.
5. Drive PoC planning, execution, success criteria and outcome validation; collaborate with the customer Elastic team and supporting SMEs, and present the assessment, architecture and roadmap to customer leadership.

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