Sales Development Representative

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

• 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)
• Strong troubleshooting skills across search relevance, performance, and ingestion issues
• Ability to explain search and observability concepts clearly in a consulting environment

• 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