Mission freelance ELK Senior Consultant: Logboard, Stack Management, OpenTelemetry, Linux, Remote Working (h/f)

Vous êtes un expert Logboard ELK expérimenté dans la gestion d'environnements globaux à grande échelle ?

Alors emagine recherche vos compétences pour gérer et optimiser un environnement de 500 nœuds, développer des pipelines d'ingestion de logs, créer des tableaux de bord et mettre en œuvre des solutions d'observabilité pour assurer la fiabilité et la performance des systèmes.

Are you a Logboard ELK expert experienced in managing large scale global environments? 

Then emagine is looking for your skills to manage and optomize a 500 node environment, developing log ingestion pipelines, creating dashboards, and implementing observability solutions to ensure the reliability and performance of the systems

Key Skills:

• Over 4 years of experience with the ELK stack (Elasticsearch, Logstash, Kibana).

• Skilled in developing log ingestion pipelines, managing Elasticsearch clusters, and creating Kibana dashboards.

• Strong expertise in managing Linux-based environments.

• Experience with scripting languages such as Python or Bash for automation tasks.

• Familiarity with cloud platforms (e.g., AWS, Azure) and infrastructure as code tools (e.g., Terraform, Puppet).

• Excellent communication skills in written and verbal English.

• Relevant certifications in ELK stack or cloud platforms.

• Experience with OpenTelemetry implementation (Preferred).

• Previous experience working in a global multicultural distributed team environment.

Key Tasks:

• Configure, administer, and optimize the ELK platform to ensure efficient log collection, storage, and analysis.

• Develop and maintain log ingestion pipelines using Logstash and Filebeat to ensure seamless data flow.

• Design and implement Kibana dashboards for real-time monitoring and analysis of log data.

• Implement end-to-end observability solutions to enhance system monitoring and troubleshooting capabilities.

• Conduct performance tuning and optimization of Elasticsearch clusters to handle large-scale data.

• Provide support during incidents, perform root cause analysis, and implement corrective actions.

• Work closely with development, operations, and security teams to integrate logging and monitoring solutions.

For full project details please apply with your latest CV or call Brendan with your questions.