Open Search Senior Engineer

Key Responsibilities: • Design, deploy, and manage OpenSearch clusters in production environments. • Optimize search performance and relevancy tuning for large-scale datasets. • Develop and maintain ETL pipelines to ingest structured and unstructured data into OpenSearch. • Implement monitoring, alerting, and backup strategies for OpenSearch clusters. • Work closely with application and data engineering teams to integrate search functionalities. • Evaluate and recommend best practices for index management, shard sizing, and query optimization. • Maintain security and access control policies using OpenSearch features (e.g., RBAC). • Write and maintain documentation for systems and processes.

Required Skills: • 4+ years of hands-on experience with OpenSearch and 8+ years of total experience. • Strong proficiency in search query design, aggregations, and full-text search. • Experience with EKS or other Kubernetes platforms for deploying and managing OpenSearch. • Strong understanding of AWS services: EC2, S3, IAM, CloudWatch, VPC, etc. • Experience with log/data ingestion tools such as Logstash, Fluentd, or OpenSearch Ingest Pipelines. • Proficiency in REST APIs, JSON, and scripting languages (e.g., Python, Bash). • Knowledge of Linux environments and containerization (Docker/Kubernetes). • Familiarity with Kibana or OpenSearch Dashboards. • Understanding of indexing, mapping, analyzers, and tokenization techniques.

Nice to Have: • Familiarity with AWS OpenSearch Service (managed) and when to choose managed vs. self-hosted deployments. • Experience with observability tools like Prometheus, Grafana, FluentBit, or OpenSearch Dashboards. • Knowledge of DevOps tools and CI/CD practices (GitHub Actions, ArgoCD, Jenkins). • Exposure to multi-tenant OpenSearch environments and resource isolation strategies.

Salary Range: $90,000-$140,000 a year #LI-AS3