10 of 10 logstash Jobs in the UK excluding London

integrate them into CI/CD processes Monitoring and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk. Ability to set up and maintain monitoring and logging for applications and infrastructure Security Practices in DevOps (DevSecOps): Understanding of security practices

Terraform, and Linux administration to create robust deployment pipelines and cloud infrastructure that supports multiple product lines. You'll focus on observability solutions, including LogStash integration , while collaborating with cross-functional teams to streamline software delivery, enhance system reliability, and empower developers with automated, secure infrastructure solutions. Key Responsibilities: Build

RBAC, encryption , and data governance to ensure regulatory compliance. Performance & Tuning Specialist: Deep technical skill in fine-tuning Elasticsearch indices and mappings and optimizing Logstash pipelines for maximum performance, throughput, and efficient resource utilization. Outcome Ownership: Results-driven professional focused on owning security outcomes, leveraging Kibana for critical data visualization

RBAC, encryption , and data governance to ensure regulatory compliance. Performance & Tuning Specialist: Deep technical skill in fine-tuning Elasticsearch indices and mappings and optimizing Logstash pipelines for maximum performance, throughput, and efficient resource utilization. Outcome Ownership: Results-driven professional focused on owning security outcomes, leveraging Kibana for critical data visualization

RBAC, encryption , and data governance to ensure regulatory compliance. Performance & Tuning Specialist: Deep technical skill in fine-tuning Elasticsearch indices and mappings and optimizing Logstash pipelines for maximum performance, throughput, and efficient resource utilization. Outcome Ownership: Results-driven professional focused on owning security outcomes, leveraging Kibana for critical data visualization

with threat actor tracking, vulnerability databases, and frameworks such as MITRE ATT&CK . Strong data analysis skills, ideally using the ELK stack (OpenSearch, Logstash, Kibana) . Intermediate proficiency in Python , capable of automating workflows and developing custom analysis tools. Background in Incident Response or SOC operations is a plus.

Security features.- Ability to create, test, and optimise detection rules based on the MITRE ATT&CK Framework.- Experience in performance tuning with Elasticsearch and Logstash, including monitoring Logstash pipelines.- Proficiency in using Kibana for data visualisation and monitoring. Advantageous:- Familiarity with offensive testing frameworks and cloud services (public/private

Outside IR35 JOB DESCRIPTION This role requires strong expertise in building and managing data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. The successful candidate will design, implement, and maintain scalable, secure data solutions, ensuring compliance with strict security standards and regulations. This is a UK based … with the option of compressed hours. The role will include: Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure

onsite role with the option of compressed hours. This role requires strong expertise in building and managing data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. The successful candidate will design, implement, and maintain scalable, secure data solutions, ensuring compliance with strict security standards and regulations. Responsibilities … limited to: Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure compliance with security policies and data governance standards.

will have the support of the architetural team that provided the initial scope. Architecture & Design Define and implement SIEM architecture using Elastic Stack (Elasticsearch, Logstash, Kibana, Beats). Design log ingestion pipelines, data models, and correlation rules for security monitoring. Develop observability frameworks integrating logs, metrics, and traces. Implementation & Engineering … Deploy and configure ElasticSearch clusters, Kibana dashboards, and Logstash pipelines. Integrate SIEM with cloud-native observability tools (AWS CloudWatch, Azure Monitor, GCP Operations Suite). Automate log collection and enrichment using Beats, OpenTelemetry, and scripting. Security Use Cases & Threat Detection Build and maintain SIEM use cases, alerts, and dashboards