Remote Elastic Engineer

Summary

Join our team as a Mid-Level Elastic Engineer and contribute to the Security Operations Center's mission to prevent, identify, contain, and eradicate cyber threats. The ideal candidate will have experience working with the Elastic Stack to develop, manage, and support scalable search and analytics solutions.

Requirements

• Bachelors' degree in Computer Science, Engineering, Information Technology, Cyber Security, or related field and 4 to 8 years of related experience. Additional years of experience and cyber certifications may be considered in lieu of degree
• 3+ years of Elasticsearch stack (Elasticsearch, Logstash, Beats, Kibana) experience in active production environment
• Experience with data ingest, Extract, Transform, and Load (ETL) techniques
• Experience with multi-node clustering, architecture, development, implementation, and health monitoring of the indexes
• Advanced understanding of Elasticsearch Management, reindexing and data mappings, JSON and KQL searching syntax, and Kibana dashboard options
• Experience working with various versions of JAVA
• Experienced Linux administrator with strong bash scripting ability
• Proficient with managing AWS Elastic Kubernetes Service
• Experience troubleshooting, tuning, and configuring Elasticsearch clusters, nodes, shards, and analyzers from the 'ground up
• Experience configuring and managing Elastic CDM Dashboard / XML
• Proficient with Ansible Ad-hoc commands and creating / editing playbooks for automation
• Experience designing, documenting, implementing, securing, and maintaining Elasticsearch, Logstash, Kibana (ELK Stack) Enterprise solutions
• Excellent problem-solving skills with the ability to troubleshoot and resolve complex issues in a timely manner
• Familiar with the management, operational, and technical aspects of IT Security in a complex enterprise environment

Responsibilities

• Design, develop, and maintain custom dashboards using Elastic stack for monitoring and visualization of system metrics, logs, and traces
• Monitor and optimize the performance of Elastic Stack clusters to ensure high availability, reliability, and performance
• Work with data sources and ETL processes to integrate and normalize data into Elasticsearch, ensuring data quality and consistency
• Implement and maintain security best practices for Elastic Stack, including access controls, encryption, and compliance with regulatory standards
• Create and maintain comprehensive documentation for Elastic Stack configurations, processes, and procedures
• Maintain Elasticsearch clusters in a cloud-based environment across multiple availability zones

Preferred Qualifications

• Elastic Engineer, Elastic Analyst, and/or Elastic Observability Engineer Certifications
• Experience with deploying and using Elasticsearch in Commercial Cloud Platform (ex, AWS, Google Cloud, Azure)
• Proficiency in scripting languages such as Python or PowerShell for automation and integration tasks
• Knowledge of PKI (ability to create and validate certificates)