Office, 40% Remote Start Date: ASAP Duration: 31/03/2026 Rate: £430p/d via Umbrella Key Responsibilities: * Expert-level knowledge of the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats), with proven experience in architecting, deploying, and managing ELK infrastructure across distributed, high-performance environments. * Strong understanding of index lifecycle management (ILM), shard optimization, and cluster health monitoring More ❯
Wokingham, Berkshire, United Kingdom Hybrid / WFH Options
Experis
EDR platforms, network security, and understanding of cybersecurity frameworks. Certifications - CISSP, CEH, GIAC, or vendor-specific SIEM certifications. Programming & Scripting - Familiarity with Python, PowerShell, KQL (Kusto query language), KQL (Kibana Query Language) or other scripting languages. Analytical Thinking & problem solving - Ability to analyze large datasets and identify threats, mitigations, misconfigurations, etc. Communication Skills - Ability to document findings and communicate More ❯
Elasticsearch (ELK Stack). Assess existing Splunk configurations (dashboards, alerts, saved searches, data models) and recreate them in Kibana. Collaborate with Elastic teams to configure alerting and monitoring using Kibana, Elasticsearch Watcher, or third-party tools. Ensure migration plans include validation, rollback procedures, and knowledge transfer. Platform Operations & Incident Response: Maintain Splunk infrastructure in both Production and Non-Production … optimization efforts. Skills and Qualifications: Essential: Proven expertise with Splunk architecture , data ingestion, dashboarding, alerting, and administration. Experience migrating Splunk workloads to Elasticsearch (ELK Stack) . Solid understanding of Kibana , Elasticsearch Watcher , and observability tooling. Proficiency in Linux/Unix systems and networking protocols . Hands-on experience with Scripting (eg, Python, Shell/Bash). Experience supporting or More ❯
Role: Elastic Engineer Type: Contract Location: London, UK (Hybrid) Job Detail Minimum years of experience: 8 years of experience with Elastic Search, Kibana Logstash Skills: Mandatory Skills: ElasticKibana Logstash(ELK) Details: Candidate should have 8 years of relevant experience in ELK S/He should be able to develop/build the required pipeline for data ingestion … existing ELK setup , that will not be useful. Candidate should have exposure to cloud and Kafka Also should have exposure to security domain Strong understanding of elastic - elastic search , Kibana , logstash , Fleet and other integrations Data Engineering skill set to design and develop pipelines to ingest data into Elastic Cloud & Domain aware Candidate will be responsible Building all the More ❯