Overview We are looking for a Senior Elastic Engineer / Consultant with 4–6 years of hands-on Elastic experience to deliver customer-facing consulting engagements. This role focuses on solution design, implementation, and troubleshooting across Search and Observability use cases.

This is a consulting role, not product development.

Key Responsibilities

- Deliver Elastic consulting services to enterprise customers
- Design, deploy, and operate Elasticsearch clusters in production environments
- Implement and optimize Search solutions, including: Index design, mappings, and analyzers Query optimization and relevance tuning Alias-based index versioning and zero-downtime rollouts
- Work on modern Search use cases, including: Semantic search and vector search Hybrid search (BM25 + vector) Search performance and scalability optimization
- Design and implement Observability solutions using Elastic for logs, metrics, and traces
- Build and manage data ingestion pipelines using Elastic Agent, Beats, Logstash, and Kafka
- Perform Elastic Stack upgrades and migrations (e.g., 7.x → 8.x)
- Implement Cross-Cluster Replication (CCR) and Disaster Recovery strategies
- Troubleshoot complex production issues related to ingestion, search performance, and cluster health
- Collaborate with customers and internal teams to translate requirements into Elastic architectures
- Create and maintain runbooks, documentation, and best-practice guidelines

Required Experience





- 4–6 years of hands-on experience with Elasticsearch / Elastic Stack
- Robust experience designing and operating Elasticsearch clusters in production
- Hands-on experience with Search use cases, including: Index design, mappings, and analyzers Query DSL, filters, aggregations, and sorting Relevance tuning, boosting, and scoring strategies
- Experience with modern search patterns, such as: Semantic search and vector search Hybrid search (BM25 + vector similarity)
- Solid understanding of Elasticsearch internals (shards, indexing, search performance, scaling)
- Experience working with Elastic Stack components: Kibana, Logstash, Beats, Elastic Agent
- Hands-on experience with data ingestion pipelines, including Kafka-based ingestion
- Experience delivering Observability use cases (logs, metrics, traces) using Elastic
- Familiarity with Elastic security features (TLS, RBAC, API keys)
- Strong troubleshooting skills across search relevance, performance, and ingestion issues
- Ability to explain search and observability concepts clearly in a consulting environment

Preferred Qualifications

- Elastic certification (Engineer / Observability)
- Prior customer-facing consulting experience
- Experience with semantic search, vector search, and observability use cases
- Exposure to CI/CD pipelines, Git, and Agile delivery models

Link to apply

📌 Junior Elasticsearch Engineer (Pune)
🏢 hyperflex
📍 Pune