Job Title

Senior Elastic Elasticsearch Consultant / Log Management specialist Start date: 1st August Duration: 5 months Fully remote, but must work to European time Full time Job Summary * As part of the Monitoring Product team within the IT organization, the *Log 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 Elastic Stack and Cribl, Splunk is a bonus) to ensure the high availability, security, and efficiency of log data processing and analysis. This role is pivotal in aligning log management strategy with business needs, under the vision and direction of the Product Owner. The specialist will be responsible for understanding business requirements, determining appropriate logs for ingestion, selecting the optimal log management solution, and executing the setup and configuration to provide actionable insights through dashboards and reports. Main priorities for this role include deploying the client's Elastic Production Platform based on Openshift Infrastructure by using Cribl and Kibana, adding new workflows and logs, then creating new applications for their business. We will also have to migrate our Splunk Platform to Elastic in 2026. The challenge is not only the build part, but also organizing the run for other team members. Key Responsibilities & Deliverables *Architectural and engineering leadership*: Acts as both Architect and Engineer to design and implement high-performance, scalable log management solutions that fulfil business and solution needs. This includes selecting the right tools (including Elastic Stack and Cribl; Splunk is a bonus) based on specific requirements and ensuring their scalable deployment. *Solution migration*: Leads the migration of log management solutions to 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 migrate 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. *Strategic migration planning*: Lead strategic planning efforts for migrating existing use cases from Splunk to Elastic, as determined by the newly defined architecture standards. This includes setting clear objectives, timelines, and resource requirements to ensure smooth and efficient transition. *Migration execution*: Execute the migration of selected use cases from Splunk to Elastic, overseeing all aspects of the migration process from initial planning to final validation. Ensure that migrations are completed with minimal disruption to business operations and that all data is accurately transferred and fully functional within the Elastic environment. *Monitoring and optimization post-migration*: After migration, ensure that monitoring, logging, and alerting are properly configured in Elastic to meet or exceed the standards previously achieved with Splunk. Continuously monitor system performance and user feedback to identify and implement optimizations that enhance the utility and efficiency of the Elastic 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. Collaborates with Hybrid Cloud colleagues to ensure seamless performance across all platforms. *Training and support*: Provide training and ongoing support to IT and business users on the new Elastic platform, including best practices for leveraging its capabilities to meet their specific use cases. Develop and maintain comprehensive documentation to aid in user adoption and the ongoing operation of Elastic solutions. *Guidance and coaching*: Serve as a subject-matter expert (SME) for guiding engineering teams through data migrations, upgrades, and adopting new 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. Required Skills & Competencies *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 Elastic Stack (Splunk is a bonus) 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 and Grafana, specifically tailored for overseeing log management infrastructure. *Linux administration*: Strong experience in Linux Administration is crucial. Additional experience with containerization technologies (e.g. Docker, Kubernetes, OpenShift) will be highly appreciated, reflecting the modern practices in deploying and managing scalable applications. *Cloud Services*: Experience working with cloud providers, particularly Azure, in deploying and managing log management solutions and related services in the cloud. *Infrastructure Automation*: Proficiency in infrastructure automation and provisioning tools, such as PowerShell and Ansible playbooks, to automate the deployment and management of log management solutions. *Project and process management tools*: Experience using project and process management tools (agile methodology such as SAFe or SCRUM), such as Microsoft Azure DevOps, particularly in the management of Product Backlog Items (creation, follow-up).