4 of 4 Remote Kibana Jobs in London

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 ❯

procedures. Monitoring and Observability: Monitors servers, applications and clusters for failures, system crashes and resource usage, etc using tools like Prometheus, Grafana or Elastic Stack (Elastic Search, Logstash and Kibana). FURTHER DUTIES WILL INCLUDE: Improve monitoring on our application servers which we are currently lacking. Re-implement high availability on database and tomcat to achieve continuous delivery with … Systems (SVN or Git), Jira, GitLab, or Jenkins Experience in using configuration management, monitoring and logging tools such as Ansible, Prometheus, Grafana or Elastic Stack (Elastic Search, Logstash and Kibana). Extensive experience with Windows and Linux operating system environments Experience with infrastructure scripting solutions such as Linux and/or PowerShell Solid experience with cloud-solutions like AWS More ❯

performance, availability, and security. Seeking experience in Deploying Logging/Opensearch infrastructure, Configuring Platform and applications to send logs to Open Search. Expertise in the ELS Stack (Elasticsearch, Logstash, Kibana). Designing centralized logging, building Kibana dashboards, optimizing observability with AWS services (CloudWatch, CloudTrail, S3), and automating workflows using Python or Terraform. Configure platforms/applications to forward 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: Elastic Kibana 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 ❯