Elastic search

ITC Infotech · Bangalore

Source and collection record

Last observed by our collector: 9 October 2026 at 4:29 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: PCIIL_0000259335_1

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

Primary Skills Elasticsearch Strong hands-on experience in designing indices, mappings, analysers, and writing complex search queries Query DSL, aggregations, relevance tuning. Node.js Solid experience building RESTful APIs, backend services, and integrating with Elasticsearch and other data sources. Elastic Cloud Practical experience deploying, configuring, scaling, and monitoring Elasticsearch clusters on Elastic Cloud or similar managed hosting. Secondary Skills Working knowledge of databases such as MySQL, PostgreSQL, or Databricks schema design, queries, indexing, and performance tuning. Familiarity with front-end technologies e.g., React, Angular, or Vue is a plus for true full stack ownership. Understanding of Logstash Beats Kibana or the broader ELK Elastic Stack ecosystem. Experience with Docker, Kubernetes, or other containerizationdeployment tools. Exposure to version control Git and CICD pipelines. Key Responsibilities Design, develop, and maintain scalable backend services using Node.js. Architect, implement, and optimize Elasticsearch indices and queries for high-performance search and analytics. Deploy, configure, and manage Elasticsearch clusters on Elastic Cloud, ensuring high availability and performance. Integrate Elasticsearch with application databases and backend services. Collaborate with front-end developers to deliver end-to-end features. Monitor, troubleshoot, and optimize search performance, indexing pipelines, and cluster health. Write clean, maintainable, and well-documented code, and participate in code reviews.

Collected experience requirement

2-5 years