Solr / OpenSearch Engineer

PROLIM Global Corporation

  • California, CA
  • 9 days ago

    Highlights

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

    Numbers & Facts

    LocationCalifornia, CA

    Description

    Job Title: Solr / OpenSearch Engineer

    Location: Sunnyvale, CA / Austin, TX

    Duration: 6 Months

    Experience: 6-8 Years

    Job Summary

    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.

    Key Responsibilities

    • 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.

    Required Skills

    • 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.

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