Added
2 days ago
Type
Full time
Salary
Salary not provided

Related skills

azure docker aws python kubernetes

πŸ“‹ Description

  • Design, implement, and maintain ElasticSearch-based search solutions.
  • Optimize performance, scalability, and relevance across datasets.
  • Collaborate with cross-functional teams to define search requirements.
  • Develop indexing pipelines, crawlers, and data transformation workflows.
  • Monitor and troubleshoot search infra for reliability and low latency.
  • Stay updated on emerging search tech to drive improvements.

🎯 Requirements

  • Bachelor's in CS, IT, or related field
  • 3–5 years hands-on ElasticSearch in production
  • AI Agents, Elastic Agent Builders, RAG in Elastic search
  • Relevancy tuning, query optimization, search algorithms
  • Python, Java, or JavaScript proficiency
  • Data indexing, crawling, ETL; AWS/Azure, Docker/Kubernetes

🎁 Benefits

  • Team-first culture with growth opportunities
  • Continuous training and professional development
  • Competitive benefits and remote-friendly environment
  • Global team collaboration across regions
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