Chez BS-Team, nous avons à cœur d’accompagner nos collaborateurs tout au long de leur carrière en leur offrant des opportunités d’évolution. Nous sommes convaincus que l’élargissement des connaissances et des compétences est primordial pour leur réussite professionnelle et leur épanouissement au quotidien.
Mission:
As part of the Monitoring Product team within the IT organization, the Logs Management Specialist is at the forefront of managing and optimizing the company’s log management and analytics capabilities. This role is pivotal in designing, building, and operating advanced log management solutions (including Splunk, Elastic Stack, and Cribl) to ensure the high availability, security, and efficiency of log data processing and analysis.
This role is pivotal in aligning log management strategies with business needs, under the vision of the Product Owner. The specialist will be responsible for understanding business requirements, routing the logs to appropriate solution, meaning configuring the setup and providing actionable insights through dashboards/reports.
Your role:
- Engineering leadership: Proficient in leveraging Splunk, Cribl, Elastic, and other related tools for log management, with a focus on ensuring scalable deployment. This role operates under the guidance of an Architect. Acts as Engineer to design and implement high-performance, scalable log management solutions that fulfill business and solution needs.
- Solution onboarding: Leads the onboarding of logs coming from Windows/Linux applications and containerized environments, such as OpenShift or Azure Kubernetes Services (AKS), enhancing scalability and deployment efficiency. This task requires in-depth knowledge of containerization technologies and the ability to onboard existing solutions without disrupting business operations.
- Use case identification and documentation: Collaborate with business and IT Product teams to identify and document current and future use cases for log management solutions. This involves distinguishing between use cases that are best suited for Splunk versus those more effectively addressed with Elastic, based on performance, scalability, cost, and other relevant factors.
- Monitoring and optimization: Continuously monitor system performance and user feedback to identify and implement optimizations that enhance the utility and efficiency of the solutions.
- Collaborative review and continuous improvement: Work closely with the architecture and engineering teams to review the effectiveness of the architecture standards and migrations on an ongoing basis. Adapt strategies and processes as necessary to align with evolving business needs and technology advancements, ensuring the organization remains at the forefront of log management innovation.
- Monitoring, Logging, and Alerting: Ensures comprehensive monitoring, logging, and alerting systems are in place and integrated with standard monitoring tools according to business requirements. This includes setting up dashboards and alerts to proactively address potential issues.
- Performance optimization: Acts as an expert in identifying optimizations within log processing and query languages to deliver the best possible performance.
- Training and support: Provide training and ongoing support to IT and business users, including best practices for leveraging its capabilities to meet their specific use cases. Develop and maintain comprehensive documentation to aid in user adoption.
- Guidance and coaching: Serve as a subject-matter expert (SME) for guiding engineering teams through upgrades and adopting log management technologies. Provides coaching and support to colleagues to enhance their technical knowledge and capabilities.
- Incident and Request Management: Practices sustainable and responsive support for incident and request management, ensuring timely resolution of issues and efficient handling of user requests. This task involves close collaboration with IT support teams to maintain service quality and reliability.
Your profil:
- University degree: A university degree in a technical field, complemented by a minimum of 5 years of experience in administering primarily on-premises based multi-user environments. This should include expertise in planning, designing, building, and implementing complex systems tailored for log management and analytics.
- Experience in Log Management solutions: At least 5 years of hands-on experience in running log management and analytics platforms such as Splunk and Elastic Stack in a production environment. This includes expertise in log collection, processing, storage, and visualization.
- Monitoring, Logging, and Alerting Systems: Extensive experience with monitoring, logging, and alerting systems, such as Prometheus, Grafana, Open Telemetry.
- Linux administration: Strong experience in Linux Administration is crucial
Nous ne répondrons qu’aux candidatures qui correspondront le mieux aux prérequis.
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