8 of 8 logstash Jobs in the UK excluding London

multiple global cloud platforms. Key Responsibilities: As a Placement DevOps Engineer, you will engage with our entire tech stack, including but not limited to: ELK Stack: Elasticsearch, Kibana, and Logstash Containerization and Orchestration: Kubernetes and Docker CI/CD: Jenkins Package Management: Helm (K8s) Monitoring and Analytics: Grafana and Prometheus Infrastructure: OpenStack Automation: Python-based in-house stack automation tools More ❯

client expectations and ensure effective stakeholder communication. Stay up to date with Elastic and observability best practices. Tech Skills: Extensive hands-on experience with the Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, etc.) . Familiarity with DevOps practices and tools (CI/CD, automation, infrastructure-as-code). Experience with containerized solutions such as Kubernetes, Docker, or OpenShift. Knowledge of public More ❯

client expectations and ensure effective stakeholder communication. Stay up to date with Elastic and observability best practices. Tech Skills: Extensive hands-on experience with the Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, etc.) . Familiarity with DevOps practices and tools (CI/CD, automation, infrastructure-as-code). Experience with containerized solutions such as Kubernetes, Docker, or OpenShift. Knowledge of public More ❯

client expectations and ensure effective stakeholder communication. Stay up to date with Elastic and observability best practices. Tech Skills: Extensive hands-on experience with the Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, etc.) . Familiarity with DevOps practices and tools (CI/CD, automation, infrastructure-as-code). Experience with containerized solutions such as Kubernetes, Docker, or OpenShift. Knowledge of public More ❯

Kibana Nice to have skills: -stakeholder communication skills -strong project management Responsibilities: Minimum number of relevant years of experience: 5 Detailed Job Description: -Ability to deploy and configure Elasticsearch, Logstash, Kibana for centralized logging/data analytics; setting up ELK clusters with high availability/optimization -Proficiency in containerization using Docker and orchestration with Kubernetes, ensuring effective management and scaling More ❯

Inside IR35) Duration: 6 Months Location: Edinburgh/Glasgow Hybrid: (2 Days/Week On-Site) We're looking for an experienced Senior Cloud Engineer with specialist ELK (Elasticsearch, Logstash, Kibana) expertise to join Social Security Scotland on a 6-month contract . This role is ideal for Cloud Engineers with a strong public sector track record who want to … role requires hands-on experience with data ingestion pipelines, performance tuning, and building effective visualisations from large data sets. Key Skills & Experience: 2+ years as an ELK SME (Elastic, Logstash, Kibana) Proven experience designing, managing, and tuning large Elastic clusters Strong skills in data ingestion pipelines and indexing best practices Knowledge of visualisation techniques in Elasticsearch Background in software development More ❯

site 2 days per week minimum in Scotland, either at their Edinburgh or Glasgow site. Key Requirements Professional experience in the design, maintenance and management of Elastic stacks (Elasticsearch, Logstash, Kibana) Experience of configuring and maintaining large Elastic clusters Experience working with large data sets and elastic indexing best practices. Good understanding on Visualisation components and techniques in Elasticsearch. Proven … experience in performance management and tuning of Elasticsearch environment. Strong experience in writing data ingestion pipelines using Logstash and other big data technologies. Are you interested in this position? If so, then please respond with your CV and I will be in touch ASAP. More ❯

tools, environments and practices and are responsible for underpinning good development processes. This ELK SME adaptation utilises engineering experience as the base skillset but also extends into strong Elastic, Logstash and Kibana experience, allowing change and improvement within the Agency’s Logging Monitoring and Alerting (LMA) implementation of ELK. The role requires a dynamic, highly motivated individual with the ability … develops a future technology capability which can be rapidly changed to support business outcomes ELK SME Extension Professional experience in the design, maintenance and management of Elastic stacks (Elasticsearch, Logstash, Kibana) Experience of configuring and maintaining large Elastic clusters Experience working with large data sets and elastic indexing best practices. Good understanding on Visualisation components and techniques in Elasticsearch. Proven … experience in performance management and tuning of Elasticsearch environment. Strong experience in writing data ingestion pipelines using Logstash and other big data technologies. Please feel free to contact myself – Daisy Nguyen at Gibbs Consulting/Atrium UK for a confidential chat to know more details about the role. Please also note: Due to the volume of applications received for positions More ❯