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

Strong 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)

Solid 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

📌 Senior Elasticsearch Engineer (India)
🏢 hyperflex
📍 India