Sr. Elastic Engineer

Technical Skills:
Elastic Stack Expertise:
Deep understanding of Elasticsearch architecture, including indexing, search, and query performance optimization.
Experience with Logstash for data ingestion and transformation.
Proficiency with Kibana for data visualization and dashboard creation.
Knowledge of Beats for lightweight data shipping.

Data Management:
Experience with data modeling, schema design, and data lifecycle management in Elasticsearch.
Proficiency in managing large-scale data sets and ensuring high availability and scalability.

Scripting and Automation:
Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks.
Experience with configuration management tools like Ansible, Puppet, or Chef.

Security:
Knowledge of securing Elastic Stack deployments, including user authentication, role-based access control, and encryption.
Familiarity with compliance standards and best practices for securing sensitive data.

Performance Tuning:
Skills in optimizing Elasticsearch performance, including shard allocation, indexing strategies, and query optimization.

Monitoring and Troubleshooting:
Experience with monitoring tools and techniques for Elastic Stack.
Strong troubleshooting skills to diagnose and resolve issues in Elastic Stack deployments.