Location: Portland, OR (Relocation Assistance Provided)
Duration: Perm/Direct Hire
Pay Rate: $130,000 - $160,000
Job Description:
Identify, analyze, and assess enterprise information assurance and security standards.
Analyze cybersecurity vulnerability analytics.
Develop and implement information assurance standards and procedures.
Identify, report, and resolve security vulnerability and security violations.
Establish and satisfy information assurance and security requirements based upon. the analysis of user, policy, regulatory, and resource demands.
Implement and maintain security postures within complex network architectures.
Apply Security Technical Implementation Guides (STIG) levels on all servers, workstations, and laptops.
Provide support via scripts / scripting.
Monitor the implementation of and compliance with RMF standards to ensure uniform application of the standards and consistency in security of accredited systems.
Develop risk management guidelines that are based on the RMF standards of NIST SP 800-37.
Requirements:
At least five (5) years of related Splunk Engineering experience.
Splunk Core Consultant and Enterprise Security certification required.
Knowledge with automation scripting for vulnerability mitigation and repeatable processes.
Knowledge of Cyber detections tools, i.e., HBSS and ACAS.
Experience/knowledge of Splunk, Elastic Search, Spark, Hadoop and Kafka.
Experience with monitoring, collecting server logs, firewall logs, intrusion detection logs, and network traffic utilizing Splunk, ArcSight, or Elastic Search.
Knowledge of the DoD vulnerability scanning requirements utilizing DOD DRSI Standards and Tools.
Strong understanding of data warehouse concepts.
Knowledge of dashboards utilized for delivering technical reports and formal papers on test findings.
Experience in Linux, Windows Server 2008 and higher, VMWare, Citrix, and any other Cloud Services Platform such as Microsoft Azure, Amazon Cloud Services.
Knowledge of and comprehension on how to implement 8570.01-M./DoD 8140.
Experience working with large structured, semi-structured or unstructured datasets and transforming and combining those data sets for exploration and modeling.
Experience implementing and utilizing predictive analysis and histogram trending in a production setting.
Experience with deploying patch and hot-fixed mitigation implementations with deadlines for various Operating System Platforms utilizing tools such as Red Hat Satellite Server, YUM Server, Microsoft SMS, Group Policy, PowerShell scripting, Tanium or Puppet.
Familiarity with ACAS and DISA Risk Score calculations.
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