We are seeking an experienced Elastic Search Developer/Engineer to design, build, and optimize search and log analytics solutions within a fast paced Capital Markets environment. The ideal candidate will have strong expertise in Elastic Stack components and hands on experience managing large scale, high availability search clusters.
Key Responsibilities
- Design, deploy, and manage Elastic Search clusters for high performance search and analytics.
- Implement indexing strategies, configure shards/replicas, and optimize cluster performance.
- Perform search performance tuning, relevance tuning, and query optimization.
- Develop and manage log analytics pipelines using Logstash, Beats, and Kibana.
- Build visualization dashboards in Kibana to support monitoring, reporting, and insights.
- Troubleshoot cluster issues, performance bottlenecks, and indexing/search exceptions.
- Work closely with Capital Markets teams to translate business requirements into scalable search solutions.
- Ensure Elastic Stack configurations align with security, compliance, and operational standards.
Required Skills & Experience
- Strong hands on expertise in Elastic Search cluster design, deployment, scaling, and maintenance.
- Deep understanding of indexing, mappings, analyzers, search queries, aggregation frameworks, and tuning.
- Experience with Kibana, Logstash, Beats, and the Elastic Stack ecosystem.
- Strong knowledge of log analytics and data ingestion pipelines.
- Proven experience in Capital Markets (mandatory), with understanding of trade data, market data, and regulatory workflows.
- Ability to troubleshoot distributed systems, cluster performance issues, and ingestion failures.
- Strong analytical and problem solving skills.
Ideal Candidate Profile
- Elastic Stack expert with experience supporting mission critical, low latency systems.
- Comfortable working in high pressure, financial market environments.
- Able to communicate effectively with technical teams and business stakeholders.