Senior Elasticsearch Engineer - Hyperflex

Consultadd Services; Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Consultadd Services is seeking an experienced Elastic Stack Consultant to deliver end-to-end Elasticsearch solutions for enterprise clients. You will design, deploy, and operate production-grade clusters, optimize queries and mappings, and implement advanced search capabilities including vector and semantic search.

You will also build observability pipelines, manage ingestion with Kafka and Elastic Agent, and guide customers through upgrades, CCR, and DR strategies in a fast-paced delivery

Qualifications

• 4-6 years of hands-on experience with Elasticsearch/Elastic Stack.
• Proven experience designing and operating Elasticsearch clusters in production.
• Strong hands-on experience with Query DSL, filters, aggregations, sorting, and relevance tuning.
• Experience with semantic search, vector search, and hybrid search patterns.

Responsibilities

• Deliver Elastic consulting services to enterprise customers as part of a specialized Elastic Partner practice.
• Design, deploy, and operate Elasticsearch clusters in production environments.
• Implement and optimize search solutions, including index design, mappings, and analyzers.
• Perform query optimization and relevance tuning (boosting, scoring strategies).
• Manage alias-based index versioning for zero-downtime rollouts.
• Work on modern search use cases including semantic search, vector search, and hybrid search (BM25 + vector).
• Design and implement Observability solutions for logs, metrics, and traces using Elastic.
• Build and manage data ingestion pipelines using Elastic Agent, Beats, Logstash, and Kafka.
• Execute 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 business requirements into Elastic architectures.
• Create and maintain runbooks, documentation, and best-practice guidelines.

Skills

Elasticsearch operations

Elasticsearch production design

Query DSL and aggregations

Semantic/vector/hybrid search

Shards and indexing

Kibana/Logstash/Beats/Elastic Agent

Kafka-based data ingestion

Tools

Elastic Agent

Beats

Logstash

Kafka

Job description

Role & responsibilities

• Deliver Elastic consulting services to enterprise customers as part of a specialized Elastic Partner practice
• Design, deploy, and operate Elasticsearch clusters in production environments
• Implement and optimize search solutions, including index design, mappings, and analyzers
• Perform query optimization and relevance tuning (boosting, scoring strategies)
• Manage alias-based index versioning for zero-downtime rollouts
• Work on modern search use cases including semantic search, vector search, and hybrid search (BM25 + vector)
• Design and implement Observability solutions for logs, metrics, and traces using Elastic
• Build and manage data ingestion pipelines using Elastic Agent, Beats, Logstash, and Kafka
• Execute 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 business requirements into Elastic architectures
• Create and maintain runbooks, documentation, and best-practice guidelines

Preferred candidate profile

• 4-6 years of hands-on experience with Elasticsearch / Elastic Stack
• Proven experience designing and operating Elasticsearch clusters in production
• Strong hands-on experience with Query DSL, filters, aggregations, sorting, and relevance tuning
• Experience with modern search patterns semantic search, vector search, and hybrid search
• Solid understanding of Elasticsearch internals (shards, indexing, search performance, scaling)
• Working knowledge of Elastic Stack components: Kibana, Logstash, Beats, Elastic Agent
• Hands-on experience with data ingestion pipelines, including Kafka-based ingestion
• Experience delivering Observability solutions (logs, metrics, traces) using Elastic
• Familiarity with Elastic security features (TLS, RBAC, API keys)
• Strong troubleshooting skills across search relevance, performance, and ingestion issues
• Excellent communication skills — able to explain technical concepts clearly to enterprise clients
• Elastic certification (Engineer / Observability) preferred
• Prior customer-facing consulting experience preferred
• Exposure to CI/CD pipelines, Git, and Agile delivery models is a plus