About GuidePoint Security

GuidePoint Security is a leading cybersecurity solutions and services firm enabling federal government organizations to make smarter security decisions that minimize risk. With more than 800 vetted technology vendor partnerships and deep practitioner expertise across every major cybersecurity domain, GuidePoint serves more than half of the U.S. Government's cabinet-level agencies across Civilian, DoD, and Intelligence Community segments, as well as Federal System Integrators and major defense prime contractors. We are growing our federal presales engineering team and looking for technically exceptional engineers who thrive at the intersection of federal mission and cybersecurity technology.

As an Elastic Engineer, you'll collaborate as an essential member of the Data Analytics team, working closely with cyber architects and cloud security architect SMEs to gather key stakeholder requirements and translate them into system use-case methodologies and technical specifications.

MUST be local to the D.C. Metro area – This role supports remote work, located in Alexandria, VA

Key Responsibilities

• Provide data analytics support and expertise in data science for specialized cybersecurity applications and big data analytical systems. Collect and analyze information on enterprise data sources, formats, and key stakeholder
  use cases. Transform data sets into a common schema by merging various event types to create enriched datasets.
• Assist in technical design, documentation, testing, and resolution of identified bugs/defects.
• Support the consolidation of metadata, data management, and search tools into a comprehensive Cybersecurity Data Catalog.
• Translate data into actionable insights through intelligent analytics. Define raw input requirements for data models, ensuring quick analysis and summary reporting for informed decision-making.
• Meet professional obligations through efficient work habits, including meeting deadlines, honoring schedules, and coordinating resources and meetings effectively.

Requirements

• Must be able to obtain Public Trust clearance
• Bachelor's degree or equivalent with 7 years of related experience; or Master's degree with 3-5 years of experience.
• Minimum 5 years of Linux scripting and automation experience using Bash, Python, and/or Java.
• Experience in installing and administering COTS applications on RHEL and/or CentOS Linux.
• Proficient in building, monitoring, tuning, and troubleshooting AWS instances.
• Ansible Automation expertise (or similar tool).
• Working knowledge of Elastic; DevOps experience is preferred.
• Provide development support for emerging requirements in event ingest and transformation into a common data schema.
• Design and develop Elastic Beats or Logstash configurations for efficient data collection.
• Establish and implement a Data Governance Workflow, emphasizing metadata, data sources, data quality, policies, and procedures.
• Embraces emerging technologies, including AI tools, to work smarter, solve problems, and drive better business outcomes

Preferred Qualifications

• Elastic Certified Engineer: Focuses on managing Elasticsearch clusters, developing search solutions, and cluster maintenance.
• Elastic Certified Analyst: Focuses on using Kibana for data visualization, building advanced dashboards, and detecting anomalies.
• Elastic Certified Observability Engineer: Focuses on unifying logs, metrics, and APM traces to monitor and troubleshoot complex ecosystems.
• Elastic Certified SIEM Analyst: Focuses on threat hunting and using Elastic Security for SIEM.

"Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information."