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Elastic Search Engineer

2 months ago

Ashburn, Virginia, United States Leidos Full time
About the Role

We are seeking a highly skilled Elastic Search Engineer to join our team at Leidos. As a key member of our Enterprise Logging Solution Team, you will be responsible for maintaining and optimizing our Elastic instances, with a focus on data on-boarding, content development, configuration, troubleshooting, reporting, and visualizations.

Key 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 a related field, and 4 to 8 years of related experience.
  • 3+ years of Elasticsearch stack (Elasticsearch, Logstash, Beats, Kibana) experience in an 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.
Preferred Qualifications
  • Elastic Engineer, Elastic Analyst, and/or Elastic Observability Engineer Certifications.
  • Experience with deploying and using Elasticsearch in Commercial Cloud Platforms (e.g., 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).
  • Prior experience with CBP.