Search Engineer Solr and OpenSearch

Location: Austin, TX
Hybrid - onsite Tues, Wed, Thurs
 • 4+ years of hands-on experience administering Solr and/or OpenSearch in production environments
• Strong proficiency in Java and Python, with demonstrated ability to read, debug, and modify existing
application code
• Solid understanding of distributed systems concepts: sharding, replication, consistency, cluster
topology
• Experience with AWS services (EC2, IAM, VPC, S3, CloudWatch)
• Experience managing clusters on at least one third-party/non-AWS cloud provider (e.g., GCP)
• Hands-on experience with REST APIs, Query DSL, and index management (ILM/ISM policies)
• Practical experience using AI-assisted development tools (Claude, Copilot) to improve engineering
velocity and code quality
• Experience with CI/CD tools and Infrastructure-as-Code (Terraform, Ansible, CloudFormation, or
similar)
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Strong debugging, troubleshooting, and performance-tuning skills
• Experience with monitoring/observability tools (Prometheus, Grafana, CloudWatch, or similar)
• Solid understanding of Git-based version control and code review workflows