Elasticsearch Lead Engineer - SIEM Platform
USD 128K-180K (estimate) Senior-level Full Time
Tasks
- Architect Elasticsearch clusters
- Build data ingestion pipelines
- Configure index strategies queries and Kibana dashboards
- Define ECS field mappings
- Define SLOs for ingestion latency query performance and availability
- Design cross cluster replication and disaster recovery
- Implement Elasticsearch security controls TLS mTLS RBAC audit logging and encryption at rest
- Implement ILM and data lifecycle management
- Integrate log collection with AWS services
- Maintain high availability clusters
- Manage AWS infrastructure with CloudFormation
- Mentor engineers and establish runbooks and standards
- Monitor platform health and perform upgrades and patching
- Set up snapshot and restore to S3 data lakes
- Troubleshoot production Elasticsearch issues
Perks/Benefits
Skills/Tech-stack
AWS CDK | AWS CloudFormation | AWS CloudTrail | AWS EC2 | AWS IAM | AWS Lake Formation | AWS Lambda | AWS Secrets | AWS Secrets Manager | Amazon CloudWatch | Amazon Kinesis | Amazon Kinesis Data Streams | Amazon S3 | Amazon Web Services | Ansible | Apache Iceberg | Apache Kafka | Chaos Engineering | Cluster replication | Confluent Platform | Cross cluster | Cross-cluster replication | Data Lake | Data Lake Formation | Data Streams | Disaster Recovery | ECK | Elastic Cloud | Elastic Cloud on Kubernetes | Elastic Common Schema | Elasticsearch | Encryption at rest | ILM | Index Lifecycle Management | Index lifecycle | Infrastructure as Code | Kibana | Kinesis Data Streams | Kubernetes | Lake Formation | Lifecycle Management | RBAC | Secrets Manager | Snapshot Restore | TLS | Terraform | Web Services | “as-code”
Education
N/A
Roles
Regions
Countries
States
Cities
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