Description
Department of Homeland Security (DHS), Customs and Border Protection (CBP) Security Operations Center (SOC) is a US Government program responsible to prevent, identify, contain and eradicate cyber threats to CBP networks through monitoring, intrusion detection and protective security services to CBP information systems including local area networks/wide area networks (LAN/WAN), commercial Internet connection, public facing websites, wireless, mobile/cellular, cloud, security devices, servers and workstations. The CBP SOC is responsible for the overall security of CBP Enterprise-wide information systems, and collects, investigates, and reports any suspected and confirmed security violations.
We are seeking a talented and motivated Mid-Level Elastic Engineer to join our team. The ideal candidate will have experience working with Elastic Stack (Elasticsearch, Logstash, Kibana, and Beats) to develop, manage, and support scalable search and analytics solutions. The candidate will be part of the Enterprise Logging Solution Team, responsible for maintaining CBP’s Elastic instances with a heavy emphasis on data on-boarding, content development, configuration, troubleshooting, reporting, and visualizations. Prior experience with Splunk is a strong plus.
Primary Responsibilities
Design, develop, and maintain custom dashboards using Elastic stack for monitoring and visualization of system metrics, logs, and traces.
Implement and maintain security best practices for Elastic Stack, including access controls, encryption, and compliance with regulatory standards.
Basic Qualifications
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 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 troubleshooting, tuning, and configuring Elasticsearch clusters, nodes, shards, and analyzers from the “ground up.”
Experience designing, documenting, implementing, securing, and maintaining Elasticsearch, Logstash, Kibana (ELK Stack) Enterprise solutions.
Preferred Qualifications
Experience with deploying and using Elasticsearch in Commercial Cloud Platform (ex, AWS, Google Cloud, Azure).
Original Posting Date:
2024-12-12
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range -
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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