Elastic Search Engineer

5 days ago


Ashburn, Virginia, United States Leidos Full time

We are seeking a talented Elastic Search Engineer to join our team at Leidos. As an Elastic Search Engineer, you will be responsible for designing, developing, and maintaining custom dashboards using the Elastic Stack for monitoring and visualization of system metrics, logs, and traces.

Responsibilities:

  • Design, develop, and maintain custom dashboards using the 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 the 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.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cyber Security, or related field and 4 to 8 years of related experience.
  • 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.

The estimated salary for this position is $81,250 - $146,875 per year.

Leidos offers a competitive compensation package that includes medical, dental, and vision insurance, as well as a 401(k) plan and paid time off.



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