15 of 15 logstash Jobs in the UK excluding London

applications. Implement best practices for Kubernetes configuration and security. Configuration, deployment and maintenance of Elastic Stack on Kubernetes (ECK) Work with log Collection Tools and Technologies (Beats, Elastic Agent, Logstash), syslog and other data collection protocols DevOps/SysOps Engineering collaborating with cross-functional teams (development, operations, and QA) to streamline software delivery and automating deployment pipelines using CI/ More ❯

DV Clearance , Key Responsibilities: Design, develop, and manage complex, large-scale data pipelines in secure or regulated environments Ingest, process, index, and visualise data using the Elastic Stack (Elasticsearch, Logstash, Kibana) Build and maintain robust data flows with Apache NiFi Implement best practices for handling sensitive data, including encryption, anonymisation, and access control Monitor and troubleshoot real-time data pipelines … technical and operational requirements Essential Skills and Experience: 3+ years’ experience as a Data Engineer in secure, regulated, or mission-critical environments Proven expertise with the Elastic Stack (Elasticsearch, Logstash, Kibana) Solid experience with Apache NiFi Strong understanding of data security, governance, and compliance requirements Experience building real-time, large-scale data pipelines Working knowledge of cloud platforms (AWS, Azure More ❯

others. Implement load balancing and CDN solutions using multiple cloud vendors (e.g., Azure Load Balancer and Application Gateway). Support the installation and maintenance of a logging cluster using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity by auto-scaling resources based More ❯

Frontend Frameworks: Vue.js Scripting & Automation: Bash, Ansible DevOps & CI/CD: Jenkins, GitLab CI/CD, Terraform Cloud & Infrastructure: AWS Testing & Quality: Cucumber, SonarQube Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana Dataflow & Integration: Apache NiFi Experience across multiple areas is desirable; we don't expect you to know everything but a willingness to learn and contribute across the stack 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 ❯

performance monitoring and optimisation strategies to improve page load times, identify, diagnose and resolve issues and enhance customer experience. Enhancing system observability through logging, monitoring, and alerting (Elastic Search, Logstash, Kibana, New Relic, PRTG, ScienceLogic etc). Implementing and managing caching solutions, including Squid Cache, to optimise performance and reduce latency. Collaborating with software architects, engineers QA teams and digital More ❯

Your role at Dynatrace What's the role? As a Dynatrace Log Management and Analytics - Solutions Engineer, you will be a key member of the Dynatrace sales engine and will be responsible for providing excellent technical support to the sales More ❯

minimum of 8 years of hands-on experience with the Elastic stack and must be able to independently build and manage ingestion pipelines using Logstash. Mandatory Skills Elastic , Kibana , Logstash (ELK stack) Strong expertise in Elastic Search , with deep knowledge of Kibana dashboards and Logstash pipelines Demonstrated ability to build and manage ingestion pipelines using Logstash Full implementation experience of … and alerting Data engineering skills for designing and maintaining scalable pipelines Awareness of domain-specific compliance and operational models Key Responsibilities Design, implement, and optimize data ingestion pipelines using Logstash Set up and maintain the full Elastic (ELK) stack in production environments Analyze logs and telemetry data to extract actionable insights Ensure performance, scalability, and availability of the Elastic stack More ❯

environment where everyone can bring their whole self to work. Capgemini is committed to building a diverse and welcoming workplace. Your skills and experience Proficiency with Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) Strong understanding of cybersecurity principles and practices Experience with scripting and automation (Python, Shell) Excellent problem-solving, analytical, communication, and teamwork skills Experience with other SIEM platforms like 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 ❯

etc Programming Languages: Bash, PHP, GoLang Virtualisation: We have a custom hypervisor (ZPF) but things like VMWare ESXi/KVM/oVirt/RHEV Classics: Apache, MySQL, Redis, Varnish Logstash & Elasticsearch Networking (switching, routing, firewalls, IDS/IPS, VPN, load balancing, DNS, Cisco, F5, Akamai) Multi cloud setup - AWS, Digital Ocean, Rackspace, Linode etc DNS, NTP, SMTP, Jenkins A solid More ❯

everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone. Your skills and experience Proficiency in Elastic Stack (Elasticsearch, Logstash, Kibana, Beats). Strong understanding of cybersecurity principles and practices. Experience with scripting and automation (e.g., Python, Shell scripting). Excellent problem-solving, analytical skills and strong communication and teamwork More ❯

with the ability to explain complex data concepts to non-technical users. Desirable Skills and Experience Experience with Grafana, PostgreSQL, and MQTT. Familiarity with the Elastic software stack (Elasticsearch, Logstash, Kibana). Experience building automated data pipelines integrating API-based data sources. Ability to interpret user needs and translate them into effective data solutions. Experience working in a higher education More ❯

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 … 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 More ❯

budget-conscious delivery of proposed solutions. Contribute to change management and traceability efforts. To be successful in this role you will have Expertise in the ELK technology stack (Elasticsearch, Logstash, Kibana). Strong technical planning and leadership capabilities. Excellent communication and stakeholder management skills. This is a hybrid role based out of the companies office just South of Manchester where More ❯