6 of 6 Elasticsearch Jobs in the West Midlands

client can provide you with Greenfield project work and exposure to: .NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. This is a truly amazing opportunity to work for a prestigious global brand and on challenging and complex enterprise level .NET/ More ❯

MVC, C# and Azure SQL. Any experience in the following is desirable: .NET 9, JavaScript, React, Angular 19, Microservices, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Training will be provided in any of the technologies you lack, allowing you to turn your technological weaknesses into your greatest strengths More ❯

Azure SQL. Our client will provide you with industry recognised training into: .NET 9, JavaScript, React, Angular 19, Microservices, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Their benefits include the following: Bonus (15%). Generous stock option plan. Medical, dental and vision insurance. Company pension. Choice of computer More ❯

mindset. The ability to handle multiple tasks at one and prioritise to be as effective and efficient as possible. What it would be nice to have Cloud technology exposure. ElasticSearch Docker MySQL To Apply. Please either apply through this advert or emailing me directly via . For further information please call me: 01244 567 930. By applying for this More ❯

Contract Duration: 3 months rolling Job Summary: We are seeking an experienced Splunk SME/Migration Specialist to lead and support the migration of observability workloads from Splunk to Elasticsearch (ELK Stack) . The ideal candidate will bring hands-on expertise in Splunk architecture, data ingestion, alerting, and dashboarding, along with experience migrating workloads to Elasticsearch. In addition to … performant. This role demands a technically strong individual with excellent stakeholder communication and problem-solving skills. Key Responsibilities: Migration: Develop and implement a comprehensive migration strategy from Splunk to Elasticsearch (ELK Stack). Assess existing Splunk configurations (dashboards, alerts, saved searches, data models) and recreate them in Kibana. Collaborate with Elastic teams to configure alerting and monitoring using Kibana … Elasticsearch Watcher, or third-party tools. Ensure migration plans include validation, rollback procedures, and knowledge transfer. Platform Operations & Incident Response: Maintain Splunk infrastructure in both Production and Non-Production environments. Support Splunk SRE and Application teams in incident investigation and resolution. Proactively monitor system health and performance metrics. Upgrades and Change Management: Plan and execute upgrades to Splunk components. More ❯

Splunk Specialist - Migration to Elasticsearch (Kubernetes Environment) P roject Context: Our customer is undertaking a major migration initiative from Splunk to an Elasticsearch-based solution (ELK Stack) deployed on Kubernetes . This role is critical to design, plan, and lead the migration efforts while also supporting current Splunk operations. Key Responsibilities: Lead the end-to-end migration of … document the current Splunk setup - ingestion pipelines, dashboards, alerting rules, data models, etc. Design a detailed migration roadmap , including milestones, risk assessments, and fallback plans. Collaborate with Elastic/Elasticsearch platform teams to implement equivalent observability tooling (eg, Watcher, Kibana dashboards). Act as the primary Splunk SME supporting the customer's existing team of two during the transition. … Must-Have Experience: 6-8 years of experience in daily Splunk administration , operations, and architecture in a production environment. Proven experience leading or executing a migration from Splunk to Elasticsearch , including dashboard and alert conversion. Strong understanding of Splunk architecture , including indexers, search heads, forwarders, and data models. Working knowledge of ELK Stack (Elasticsearch, Logstash, Kibana) in production More ❯