Description

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

Key Skills

Education

Any Graduate