1 to 25 of 31 logstash Jobs in the UK

ensure scalability, resilience, and observability of data pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control … Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred Qualifications: Working knowledge of data More ❯

ensure scalability, resilience, and observability of data pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control … Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization , and data labeling practices. Preferred Qualifications: Working knowledge of data More ❯

Instana, Splunk, Honeycomb, Jaeger Hands-on experience with Infrastructure as a Code (Terraform/Ansible) Hands-on experience in technical integrations (OpenTelemetry/fluentd/fluentbit/filebeat/logstash) Hands-on experience with complex troubleshooting of Kubernetes and Docker container Good knowledge of RegEx, Lucene, PromQL Good knowledge of Linux Experience in customer facing positions and excellent high energy More ❯

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 ❯

Instana, Splunk, Honeycomb, Jaeger Hands-on experience with Infrastructure as a Code (Terraform/Ansible) Hands-on experience in technical integrations (OpenTelemetry/fluentd/fluentbit/filebeat/logstash) Hands-on experience with complex troubleshooting of Kubernetes and Docker container Good knowledge of Regex, Lucene, PromQL Good knowledge of Linux Experience in customer facing positions and excellent high energy More ❯

Instana, Splunk, Honeycomb, Jaeger Hands-on experience with Infrastructure as a Code (Terraform/Ansible) Hands-on experience in technical integrations (OpenTelemetry/fluentd/fluentbit/filebeat/logstash) Hands-on experience with complex troubleshooting of Kubernetes and Docker container Good knowledge of Regex, Lucene, PromQL Good knowledge of Linux Experience in customer facing positions and excellent high energy 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 ❯

code (IaC) tools such as Terraform or CloudFormation. What makes you stand out? Experience with monitoring tools like Prometheus, Grafana, or Datadog. Knowledge of centralized logging systems like Fluentd, Logstash, or Loki. Experience with CI/CD pipelines using Jenkins, GitLab, or similar tools, and scripting languages such as Bash, Python, or Go. Why join our team: We help you More ❯

Job Title: Elastic Engineer Location: London (Hybrid - 2 to 3 days onsite per week) Contract Duration: 6 Months Experience Required: Minimum 8 years with ELK Stack (Elasticsearch, Logstash, Kibana) Job Description: We are seeking a highly experienced Elastic Engineer to join our team on a 6-month contract basis. The ideal candidate will have extensive hands-on experience building and … implementing ELK solutions from the ground up-not just monitoring existing systems. Key Responsibilities: Design, build, and implement data ingestion pipelines using Logstash and Kafka Set up and configure the ELK Stack (Elasticsearch, Logstash, Kibana), including Fleet and Integrations Collaborate with stakeholders to analyze data and extract meaningful insights Ensure performance, availability, and reliability of the ELK environment Maintain and … and its integrations Apply domain knowledge in security and cloud environments to enhance data pipeline resilience and compliance Mandatory Skills & Qualifications: 8+ years of hands-on experience with Elasticsearch , Logstash , and Kibana Proven track record of implementing and maintaining ELK stacks Experience designing and developing data pipelines Strong exposure to cloud platforms (e.g., AWS, Azure, GCP) Proficiency with Kafka for 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 ❯

experience in SRE/DevOps roles , managing large-scale systems Strong technical knowledge of Linux (Ubuntu/Debian) environments Proven experience with observability tools such as: ELK Stack (Elasticsearch, Logstash, Kibana) Prometheus, Grafana, Graphite Kafka, Thanos, Cortex Infrastructure-as-Code skills (Terraform, Ansible) Scripting/programming skills in Python, Ruby, Go, Bash, or Scala Excellent problem-solving and debugging skills 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 ❯

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 ❯

Client service orientation, including a helpful and collaborative approach to support • Experience with Python or another programming language • Strong SQL skills Preferred: • Experience deploying monitoring tools such as Kibana, Logstash or equivalent, and integrating them with existing systems. • Experience with the Atlassian stack (JIRA/Confluence) • Experience using and maintaining AWS based infrastructure and applications • Experience using and maintaining the More ❯

Client service orientation, including a helpful and collaborative approach to support • Experience with Python or another programming language • Strong SQL skills Preferred: • Experience deploying monitoring tools such as Kibana, Logstash or equivalent, and integrating them with existing systems. • Experience with the Atlassian stack (JIRA/Confluence) • Experience using and maintaining AWS based infrastructure and applications • Experience using and maintaining the More ❯

This role will be responsible for working closely with customers across the UK, providing technical solutions for their business use cases with the Elastic Stack which includes (Elasticsearch, Kibana, Logstash and Beats.) You will act as an Elastic SME helping to drive customer journeys, helping to provide technical oversight, ongoing knowledge transfer and enablement. Use cases extend across all the 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 ❯