7 of 7 logstash Jobs in the UK excluding London

are the details Role Senior Devops Engineer Duration 12+ Months Location Livingston, West Lothian, EH54 7HH, Scotland (Hybrid/2 days a week) Skills: Knowledge of Databases, elasticsearch, kibana, logstash, Grafana and Beats would be desirable. Proven track record as an engineer with experience in the Contact Centre industry would be advantageous Development experience in PHP, ASP, Oracle SQL and More ❯

upgrading of services within our Contact technologies platform. These include systems such as Genesys Pure Engage, Kana Response, Filenet and some bespoke inhouse systems Knowledge of Databases, elasticsearch, kibana, logstash, Grafana and Beats would be desirable. Proven track record as an engineer with experience in the Contact Centre industry would be advantageous Development experience in PHP, ASP, Oracle SQL and More ❯

Development of our inhouse solutions. • Work closely with our support team and other areas to provide expert knowledge on our contact centre solutions Experience: Knowledge of Databases, elasticsearch, kibana, logstash, Grafana and Beats would be desirable. Proven track record as an engineer with experience in the Contact Centre industry would be advantageous Development experience in PHP, ASP, Oracle SQL and More ❯

Development of our inhouse solutions. • Work closely with our support team and other areas to provide expert knowledge on our contact centre solutions Experience: Knowledge of Databases, elasticsearch, kibana, logstash, Grafana and Beats would be desirable. Proven track record as an engineer with experience in the Contact Centre industry would be advantageous Development experience in PHP, ASP, Oracle SQL and More ❯

Rule Development: Ability to create, test, and optimise detection rules to identify suspicious activities and potential threats based on the MITRE ATT&CK Framework Performance Tuning with Elasticsearch and Logstash: Fine-tune query performance using Elasticsearch indices and mappings. Monitor Logstash pipelines and optimize resource utilization. Kibana Visualization and Monitoring: Leverage Kibana for data visualization, dashboards, and real-time monitoring. … Create custom visualizations to track data quality metrics and system performance. Elastic integration Integration of the SIEM with critical systems to provide alerting, monitoring, data enrichment. ETL Processes with Logstash: Design, develop, and maintain data pipelines using Logstash, part of the Elastic Stack. Automate data ingestion, transformation, and loading tasks. Beats for Data Collection: Agent and Agent Policy Management: Proficiency More ❯

Rule Development: Ability to create, test, and optimise detection rules to identify suspicious activities and potential threats based on the MITRE ATT&CK Framework Performance Tuning with Elasticsearch and Logstash: Fine-tune query performance using Elasticsearch indices and mappings. Monitor Logstash pipelines and optimize resource utilization. Kibana Visualization and Monitoring: Leverage Kibana for data visualization, dashboards, and real-time monitoring. … Create custom visualizations to track data quality metrics and system performance. Elastic integration Integration of the SIEM with critical systems to provide alerting, monitoring, data enrichment. ETL Processes with Logstash: Design, develop, and maintain data pipelines using Logstash, part of the Elastic Stack. Automate data ingestion, transformation, and loading tasks. Beats for Data Collection: Agent and Agent Policy Management: Proficiency More ❯

Kirtana Consulting is looking for Elastic Search, Kibana Logstash engineer for 6 months rolling contract in Birmigham. Job description: Job Title: Elastic Engineer Minimum years of experience: 8 years of experience with Elastic Search, Kibana Logstash Detailed job description Mandatory Skills: Elastic Kibana Logstash(ELK) Candidate should have 8 years of relevant experience in ELK S/He should be … able to develop/build the required pipeline for data ingestion using Logstash component S/He should have implantation experience in ELK If candidate has just done monitoring of 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 required pipeline for data ingestion Setting up ELK stack Analyzing and sharing insight to stakeholders Marinating the ELK stack More ❯