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# Solr / OpenSearch Engineer

- **Company:** PROLIM Global Corporation
- **Location:** Los Angeles, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Database, Continuous Integration, Shard (Database Architecture), Software Debugging, DevOps, Distributed Systems, Identity and Access Management, Python (Programming Language), Performance Tuning, Ansible, Prometheus, Apache Solr, Scripting, GitHub Copilot, Grafana, Indexer, Amazon Virtual Private Cloud (VPC), Cloudformation, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Claude, Cloudwatch, Restful APIs, Terraform, OpenSearch, Docker
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/solr-opensearch-engineer-los-angeles-ca--5fe97840-6260-4ad9-b78b-419c8b8cf69b

## About the Role

SOLR, Automation, Distributed Computing, Identify Issues, Python Programming/Scripting Language, Amazon Web Services (AWS), Production Systems, SOLR, Java, Search Engine Optimization (SEO), * 5+ years of hands-on experience administering Solr and/or OpenSearch in production.

 * Strong proficiency in Java and Python.
 * Good understanding of distributed systems, sharding, replication, consistency, and cluster topology.
 * Hands-on AWS experience and exposure to at least one non-AWS cloud platform, such as GCP or any other
 * Experience with REST APIs, Query DSL, and index lifecycle management (ILM/ISM).
 * Knowledge of CI/CD, Infrastructure-as-Code, Docker, Kubernetes, monitoring, and Git workflows.
 * Excellent troubleshooting, debugging, and performance-tuning skills.

Preferred Skills

 * Experience with AI-assisted development tools such as Claude or GitHub Copilot.
 * Experience with cloud automation and DevOps practices.
 * Strong production support and search infrastructure optimization experience.

## Description

We are looking for an experienced Solr / OpenSearch Engineer to manage, optimize, and troubleshoot search clusters in production environments. The ideal candidate will have strong hands-on experience with Solr or OpenSearch, Java, Python, AWS, distributed systems, and infrastructure automation., * Administer, maintain, and optimize Solr / OpenSearch clusters in production environments.

 * Troubleshoot search performance, indexing, replication, sharding, and cluster-related issues.
 * Develop, debug, and modify existing applications using Java and Python.
 * Manage REST APIs, Query DSL, index lifecycle policies, and cluster configurations.
 * Work with AWS services such as EC2, IAM, VPC, S3, and CloudWatch, along with third-party cloud platforms
 * Implement CI/CD pipelines and Infrastructure-as-Code using Terraform, Ansible, or CloudFormation.
 * Support containerized environments using Docker and Kubernetes.
 * Monitor system health and performance using Prometheus, Grafana, CloudWatch, or similar tools.
 * Use AI-assisted development tools such as Claude and GitHub Copilot to improve development efficiency.