About the Company:

Everest DX – We are a Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies.

Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our Digital

Platform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation.

Digital Platform - Cloud Intelligent Management (CiM) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed.

To know more please visit: http://www.everestdx.com

– DevOps - Elasticsearch

Experience: 5–10 Years

Location: Hyderabad

Requirements

- 5+ years of hands-on Elasticsearch experience,



preferably in enterprise production environments.
- Strong knowledge of Elasticsearch architecture and internals.
- Expert understanding of - Indexing and mappings, Shards and replicas, Cluster management, Query DSL, Aggregations, Index templates, Aliases, Ingest pipelines, ILM / data lifecycle management, Snapshot and restore, Cluster scaling
- Solid experience with Kibana and Elastic Stack.
- Experience with Logstash, Beats, Kafka, or other data-ingestion technologies.
- Strong Linux administration and troubleshooting skills.
- Experience with REST APIs and scripting using Python, Java, or similar languages.
- Hands-on experience with Docker and Kubernetes.
- Experience with at least one major cloud platform: AWS, Azure, or GCP.
- Experience with CI/CD and infrastructure automation.

Preferred skills:
- Elasticsearch Certified Engineer or equivalent expertise.
- Experience with Elastic Cloud.
- Experience with observability, logging, APM, and SIEM use cases.
- Experience with large-scale enterprise Elasticsearch deployments.
- Experience with search relevance and tuning.
- Experience integrating Elasticsearch with Kafka, Spark, Databricks, or enterprise data platforms.
- Terraform/Ansible experience.
- Experience designing active-active or multi-region Elasticsearch architectures.

📌 Elasticsearch Engineer (Hyderabad)
🏢 EverestDX
📍 Hyderabad