Elastic7 дней назад

Senior Search Consulting Architect

11 092–17 550 ₽в месяц · до вычета

РЫНОК

14 792 ₽медиана по профессии

Backend Developer · 78 вакансий с указанной зарплатой

5 092половина предложений: 11 885–20 1031,2 млн

Ниже рынка · выше 22% предложений

United States

Обязанности

01Translate business and functional requirements into highly resilient, scalable search architectures built natively on distributed Elasticsearch environments
02Lead technical execution and node blueprinting for enterprise customer engagements including capacity planning, custom mappings, shard strategy, Index Lifecycle Management (ILM), and cross-cluster replication (CCR/CCS)
03Deploy and operationalize semantic search implementations utilizing Elasticsearch's native vector capabilities including kNN, ELSER, hybrid retrieval, and Retrieval-Augmented Generation (RAG) pipelines
04Profile, benchmark, and tune distributed search and indexing performance to meet demanding SLAs, optimizing JVM heap, garbage collection, caching layers, and Apache Lucene segment merging
05Build robust ingestion pipelines and bulk indexing strategies handling high-volume workloads while optimizing cluster state performance and thread pools
06Serve as the lead technical consultant during client engagements, leading technical kickoff meetings, architectural reviews, and hands-on migration efforts
07Identify edge cases, bugs, and common architectural hurdles in field deployments, sharing structured feedback with Product Management and Core Support
08Document implementation patterns, contribute to standard delivery frameworks, and mentor team members to cultivate a culture of technical excellence

015+ years as a Solutions Architect, Lead Engineer, or Senior Systems Consultant with hands-on, deep technical expertise specifically focused on Elasticsearch in production environments
02Solid understanding of distributed systems principles as applied to Elasticsearch, including node roles (master, data, ingest, ML), Apache Lucene indexing mechanics, and cluster state management
03Proven track record of implementing semantic search solutions using Elasticsearch's native ML nodes, dense/sparse vector fields, and modern NLP framework integrations
04Practical experience deploying and managing Elasticsearch workloads on public cloud platforms (AWS, Azure, GCP) using Docker, Kubernetes, or Terraform
05Proficiency in at least one modern programming language (e.g., Java, Python, Go) with experience using official Elasticsearch client libraries
06Strong presentation and technical writing skills, with a proven ability to guide developer teams, customer architects, and IT managers through complex technical choices
07Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical industry experience
08Comfortable working across distributed teams and traveling to customer sites as required for key project milestones

01Compensation in the form of base salary
02No variable compensation component
03Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings
04Range of other benefits offered with a holistic emphasis on employee well-being
05Eligible to participate in Elastic's stock program