OpenSearch Engineer

Qode•New York, NY

About The Position

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.

Requirements

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.

Nice To Haves

Automate provisioning using Terraform/CloudFormation
Knowledge of containers (Docker) and orchestration (Kubernetes/EKS) is a plus.

Responsibilities

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.
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.