Job Summary

Strong fundamentals in Python Elasticsearch FastAPI Python Scripting and other similar technologies

High degree of proficiency in custom search and analytics application development using FastAPI and Elasticsearch

Extensive experience with indexing data from variety of data sources including bigdata systems like Databricks Snowflake

Responsibilities

Good hands on experience querying data from Elasticsearch and create REST API

Working knowledge of Java and Spring Boot for building enterprise grade microservices

Experience developing securing and maintaining RESTful APIs using Java Spring Boot

Understanding of API design principles versioning pagination error handling and performance considerations

Ability to integrate Java based services with Elasticsearch and other backend systems

Experience implementing AIML use cases on Elasticsearch

Experience tuning Elasticsearch performance by analyzing query patterns optimizing indexing caching JVM heap size etc to meet SLAs





Create highly reusable libraries of index templates custom analyzers scripts covering diverse datatypes and use cases

Collaborate with data engineers to construct efficient pipelines ETL jobs to maximize data quality and integrity

Guide application developers on complex search filtering aggregation requirements and query optimization

Research and prototype new Elasticsearch feature like AI based relevance tuning Graph capabilities

Experience in Cloud technologies primarily Microsoft Azure

Ability to anticipate problems and steer the team towards right direction

Knowledge of software development lifecycle DevOps build continuous integration deployment tools and standard methodologies

Experience in working source control management systems like git Bitbucket and managing packages using private registries like Jfrog

Knowledge of secure coding practices compliance opensource technologies and licensing

📌 Azure AI/Copilot Search - Architect (Bengaluru)
🏢 Cognizant
📍 Bengaluru