Role: OpenSearch Engineer
Location: NY, NY(Hybrid)
Interview : 3 rounds(Vitual)
Position Overview
We are seeking a highly skilled OpenSearch Engineer with strong experience in AWS, .NET, and Python to design, build, optimize, and manage search and analytics solutions. The ideal candidate will have hands-on expertise with distributed systems, large-scale search infrastructures, and application development, while supporting enterprise-grade observability and indexing pipelines.
Key Responsibilities
OpenSearch / Search Engineering
Design, deploy, and manage OpenSearch clusters for high availability, scalability, and performance.
Create and optimize index mappings, analyzers, tokenizers, relevance models, and search queries.
Implement OpenSearch ingestion pipelines using Logstash, FluentBit, Beats, or custom ETL.
Monitor cluster health, shard distribution, and performance using OpenSearch Dashboards.
Perform capacity planning, backup/restore, snapshots, and upgrades.
Troubleshoot issues related to indexing, search latency, cluster instability, and JVM performance.
Architect and manage cloud infrastructure using:
Amazon OpenSearch Service
EC2, S3, Lambda, IAM, CloudWatch, Kinesis, MSK
Automate provisioning using Terraform/CloudFormation (nice to have).
Implement secure access controls, VPC design, and encryption strategies.
Build real-time streaming pipelines for logs, metrics, and application data.
Develop backend services, APIs, and data pipelines in Python and .NET (C#).
Write microservices that interface with OpenSearch queries and aggregations.
Build automation tools for cluster maintenance, indexing, and monitoring.
Integrate OpenSearch with enterprise applications using SDKs/REST APIs.
Required Skills & Qualifications
6 8 years of hands-on experience with OpenSearch (or Elasticsearch).
Strong knowledge of:
Search indexing concepts
Query DSL
Aggregations
Relevance tuning
Solid experience with AWS cloud services.
Strong programming skills in:
Python
.NET/C#
Understanding of distributed systems and cluster architecture.
Experience with CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins).
Strong troubleshooting, analytical, and performance optimization skills.
- Knowledge of containers (Docker) and orchestration (Kubernetes/EKS) is a plus.
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