We are looking for an OpenSearch Engineer to design build and support scalable search and analytics platforms using OpenSearch. The ideal candidate will have strong hands-on experience with OpenSearch or Elasticsearch and a solid understanding of search indexing and distributed systems in production environments.
Key Responsibilities:
- Design implement and manage OpenSearch clusters for search and analytics use cases
- Develop and optimize index mappings queries and aggregations for performance and accuracy
- Implement data ingestion pipelines using Logstash Fluentd Beats or custom connectors
- Monitor cluster health performance and capacity; handle upgrades and scaling
- Troubleshoot production issues related to indexing search latency and cluster stability
- Implement security features including role-based access authentication and encryption
- Collaborate with application data and platform teams to integrate search solutions
- Automate deployments and operational tasks using scripts and CI/CD pipelines
- Document architecture configurations and operational procedures
Required Skills & Qualifications:
- Strong hands-on experience with OpenSearch or Elasticsearch in production
- Good understanding of distributed search systems indexing and query optimization
- Experience with OpenSearch Dashboards or Kibana for visualization and analysis
- Proficiency in one or more programming or scripting languages (Java Python Bash)
- Experience with data ingestion tools (Logstash Fluentd Beats Kafka is a plus)
- Knowledge of Linux systems and performance tuning
Preferred / Nice to Have:
- Experience with cloud-managed OpenSearch services (AWS OpenSearch Service or equivalent)
- Experience with containerization and orchestration (Docker Kubernetes)
- Familiarity with monitoring tools like Prometheus Grafana or CloudWatch
- Knowledge of security and compliance requirements in enterprise environments
- Exposure to large-scale logging observability or SIEM platforms
Required Skills:
OpenSearchLogstashCI/CD pipelinesFluentd Beats or custom connectors
We are looking for an OpenSearch Engineer to design build and support scalable search and analytics platforms using OpenSearch. The ideal candidate will have strong hands-on experience with OpenSearch or Elasticsearch and a solid understanding of search indexing and distributed systems in production...
We are looking for an OpenSearch Engineer to design build and support scalable search and analytics platforms using OpenSearch. The ideal candidate will have strong hands-on experience with OpenSearch or Elasticsearch and a solid understanding of search indexing and distributed systems in production environments.
Key Responsibilities:
- Design implement and manage OpenSearch clusters for search and analytics use cases
- Develop and optimize index mappings queries and aggregations for performance and accuracy
- Implement data ingestion pipelines using Logstash Fluentd Beats or custom connectors
- Monitor cluster health performance and capacity; handle upgrades and scaling
- Troubleshoot production issues related to indexing search latency and cluster stability
- Implement security features including role-based access authentication and encryption
- Collaborate with application data and platform teams to integrate search solutions
- Automate deployments and operational tasks using scripts and CI/CD pipelines
- Document architecture configurations and operational procedures
Required Skills & Qualifications:
- Strong hands-on experience with OpenSearch or Elasticsearch in production
- Good understanding of distributed search systems indexing and query optimization
- Experience with OpenSearch Dashboards or Kibana for visualization and analysis
- Proficiency in one or more programming or scripting languages (Java Python Bash)
- Experience with data ingestion tools (Logstash Fluentd Beats Kafka is a plus)
- Knowledge of Linux systems and performance tuning
Preferred / Nice to Have:
- Experience with cloud-managed OpenSearch services (AWS OpenSearch Service or equivalent)
- Experience with containerization and orchestration (Docker Kubernetes)
- Familiarity with monitoring tools like Prometheus Grafana or CloudWatch
- Knowledge of security and compliance requirements in enterprise environments
- Exposure to large-scale logging observability or SIEM platforms
Required Skills:
OpenSearchLogstashCI/CD pipelinesFluentd Beats or custom connectors
View more
View less