Posted on: 27/04/2026
Job Summary :
We are seeking a highly skilled Elasticsearch Engineer with strong expertise in designing, optimizing, and managing scalable search systems. The ideal candidate will have deep hands-on experience with Elasticsearch architecture, index design, and query performance tuning to support high-performance, low-latency search applications.
Key Responsibilities :
- Design, implement, and maintain scalable Elasticsearch clusters, ensuring high availability and reliability
- Develop and optimize index structures, mappings, and analyzers for efficient data retrieval
- Build and enhance full-text search capabilities, including relevance tuning, boosting, and fuzziness handling
- Define and implement effective sharding strategies for performance and scalability
- Manage Index Lifecycle Management (ILM) policies for data retention, rollover, and cost optimization
- Optimize search queries and reduce latency through advanced query tuning techniques
- Monitor cluster performance, troubleshoot issues, and ensure system health
- Collaborate with cross-functional teams to understand business requirements and translate them into efficient search solutions
Required Skills & Qualifications :
- Strong understanding of Elasticsearch architecture (clusters, nodes, shards, replicas)
- Hands-on experience with index design, mappings (keyword vs text), analyzers, and tokenizers
- Expertise in full-text search tuning (relevance scoring, boosting, fuzziness)
- Experience with sharding strategies and index lifecycle management (ILM)
- Proven ability to optimize queries and improve search performance and latency
- Familiarity with monitoring tools and debugging performance bottlenecks
- Strong problem-solving and analytical skills
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Posted in
Backend Development
Functional Area
Backend Development
Job Code
1631735