4 of 4 Remote Permanent Elasticsearch Engineer Jobs

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 … 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 support the … stack 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 More ❯

We are hiring for Elasticsearch Engineer/Consultant (Security OR Observability) Location: Hybrid - London or Birmingham locations Proficiency in Elasticsearch Query DSL, EQL, and Kibana Canvas/dashboards. Should have expertise in Elasticsearch, Kibana, and good to have Elastic APM architecture, including deployment modes and core components. Strong knowledge of Linux system administration and container orchestration … processors. and operational tasks and understanding of network protocols, HTTP, gRPC, and their logging intricacies. Proven ability to design and optimize Logstash pipelines (inputs, filters, outputs) and build native Elasticsearch ingest pipelines using various processors (grok, dissect, script, kv, CSV, geo_IP) for event normalization and enrichment. More ❯

Social network you want to login/join with: Software Engineer - Data Infrastructure - OpenSearch/ElasticSearch, London col-narrow-left Client: Canonical Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 6216e7a3e4bb Job Views: 5 Posted: 02.06.2025 Expiry Date: 17.07.2025 col-wide Job Description: Canonical is building a comprehensive … Computer Science or related fields Willingness to travel up to 4 times a year Additional skills that you might also bring Experience in: Managing search and analytics engines like Elasticsearch, Logstash, Kibana, OpenSearch Linux systems administration and operations Public or private cloud solutions like OpenStack Operating Kubernetes clusters for persistent data services What we offer you Compensation depends on More ❯

Job Title: Elasticsearch Platform Engineer Location: London - full time on-site Clearance Requirement: UK-Highest Level of Government Clearance Salary Range: £77,000 - £116,000 + Benefits Are you an experienced Elasticsearch Engineer looking to make a real-world impact on critical national projects? This is more than just a role - it's a mission. We … with a clear focus on security, resilience, and continuous improvement. Key Responsibilities: Manage and maintain Elastic Cloud Enterprise (ECE) environments, ensuring high availability and performance. Design and deploy scalable Elasticsearch solutions for Observability and Search use cases. Implement robust security, privacy, and compliance controls across Elasticsearch systems. Optimise system configurations and queries to enhance performance and reduce latency. … Collaborate with cross-functional teams (DevOps, Security, Development) to integrate and support Elasticsearch across the wider ecosystem. Drive innovation and automation to improve platform efficiency and maintainability. Experience Required: Deep knowledge of Elasticsearch architecture , APIs, and components. Experience in deploying and supporting ECE in production environments. Strong understanding of security best practices and data compliance (e.g., GDPR , HIPAA More ❯