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docker terraform aws elasticsearch retrieval-augmented generation (rag)📋 Description
- Translate complex business requirements into distributed Elasticsearch architectures.
- Lead cluster governance and design for high-stakes engagements.
- Design semantic vector search architectures using kNN, ANN, ELSER, and RAG.
- Tune distributed search and indexing for ultra-high-QPS with sub-second SLAs.
- Architect petabyte-scale ingestion and optimize cluster state and bulk indexing.
- Influence Elasticsearch roadmap with Product Mgmt and Core Engineering.
🎯 Requirements
- 8+ years as Principal Architect/Lead Engineer with Elasticsearch at scale.
- Elasticsearch internals mastery: distributed systems, consensus, node roles, Lucene.
- AI-powered search: semantic search with vector fields, NLP frameworks, LLM orchestration.
- Cloud-native infra: AWS/Azure/GCP, Docker, Terraform.
- Polyglot coding: Java, Python, Go with Elasticsearch clients and plugins.
- Education: BS/MS/PhD in CS/Engineering or equivalent; global teams and travel.
🎁 Benefits
- Flexible locations and schedules for many roles.
- Health coverage for you and family in many locations.
- Generous vacation and parental leave; volunteer hours.
- Stock program and 401k matching where available.
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