Environmental Management Authority

Engineering Leader

Environmental Management Authority

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Senior

Tech Stack

CloudDockerElasticSearchKubernetesPostgresRedis

About the role

  • Architect, scale, and own the core systems that power Ema’s Search platform.
  • Own the technical roadmap for Search, including core platform, internal and partner integrations, and Open API specs.
  • Set the roadmap for the Data Ingestion Platform to securely ingest, transform, and index documents, spreadsheets, emails, and SaaS data.
  • Lead the Application Integration Platform connecting Ema to third-party APIs (CRMs, ITSMs, HRIS, etc.).
  • Design and scale Search Platform to enable structured and unstructured data for search, reasoning, and generation.
  • Own architecture and implementation of Ema’s Search Index.
  • Drive and collaborate with LLMOps infrastructure and enable external transform development.
  • Ensure platform support for diverse data formats (PDFs, spreadsheets, databases, charts) using PostgreSQL, Elasticsearch, and other tools.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 12+ years of experience in backend systems, lucene, elastic search, vector datastores, infrastructure and scale.
  • Knowledge of indexing strategies, inverted indexes, sharding/replication, and managing large document corpora.
  • Expertise in ranking algorithms (BM25, vector-based, hybrid).
  • Familiarity with relevance tuning, query understanding, and search result evaluation.
  • Proficiency with metrics (precision, recall, NDCG, MRR, etc.).
  • Proven experience in building the search infrastructure and scaling real-time systems on the search engine.
  • Deep understanding of knowledge search.
  • Deep expertise in cloud-native architecture, containerized services, and microservice orchestration (Docker, Kubernetes).
  • Solid understanding of LLM-based pipelines, knowledge retrieval, and secure document processing.
  • Strong experience with data systems like PostgreSQL, Elasticsearch, and Redis.
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