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Search Engineer
Search EngineerDivit Technologies, Inc. • srikakulam, India
Search Engineer

Search Engineer

Divit Technologies, Inc. • srikakulam, India
12 hours ago
Job description

(Key skills : Java, Microservices, Elasticsearch / Solr)

Job Description :

Essential Functions and Responsibilities

  • Design and architect search & recommendations platforms, including next-generation and legacy systems.
  • Focus on improving search relevance, ranking, recommendations, and personalization.
  • Develop microservices to support multiple services within search and science teams.
  • Provide technical leadership, build cross-discipline partnerships, and deliver reliable solutions.
  • Write code and develop search & recommendation services, data ingestion, and indexing pipelines.
  • Collaborate with architects, engineers, data analysts, data scientists, and PMs to build Elasticsearch stack solutions.
  • Integrate ML ranking models, NLP, and query-understanding into search workflows.
  • Work on large-scale search, discovery, typeahead (auto-suggest), personalization, and recommendation systems.
  • Influence priorities, mentor juniors, review code, and ensure sprint delivery.
  • Drive re-engineering of systems and migration from legacy to next-gen architectures.
  • Take end-to-end ownership of design, development, production launch, and support.
  • Participate in design reviews and on-call rotations for production systems.

Education and Experience

  • 8+ years of hands-on software development (preferably Java), architecture, and technical mentorship.
  • 8+ years in search technologies (Elasticsearch, Solr, Lucene) with focus on relevancy and query optimization.
  • 8+ years building microservices, REST APIs, and data ingestion workers.
  • 8+ years using databases like SQL Server, DynamoDB, Redis, and other NoSQL DBs.
  • Experience in Vector Search, Generative AI, Conversational Search preferred.
  • Expertise in system design, OOP, TDD, and distributed architecture.
  • Familiar with ILM, data streams, transforms, CCR, and Elasticsearch infrastructure.
  • Strong background in Spring, Docker, Kubernetes, Kafka, distributed caching, and CI / CD.
  • Excellent communication, collaboration, and influencing skills.
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