Linux Elastic Systems Administrator

KIHOMAC•Colorado Springs, CO

11d•$110,000 - $130,000

About The Position

Analyze data sources to provide actionable recommendations Deploy, configure, and maintain the Elastic stack (Elasticsearch, Logstash, Kibana) in a scalable and highly available environment Develop and maintain data pipelines to ingest, process, and enrich log data from various sources into Elasticsearch Design, develop, and maintain insightful and actionable dashboards in Kibana to monitor system performance, security events, and application health Participate in on-call rotation for after-hours support Document system configurations, procedures, and troubleshooting steps Develop strategic insights from large data sets Present technical information to technical and non-technical audiences Manipulate and clean large, disparate datasets for bulk analysis to identify connections Utilize different programming languages to write code, open files, read files, and write output to different files Conduct queries and develop algorithms to analyze data structures Generate queries and reports Use basic descriptive statistics and techniques (e.g., normality, model distribution, scatter plots) Utilize data analysis tools (e.g., Excel, STATA SAS, SPSS) Employ data mining and data warehousing principles Demonstrate knowledge of query languages such as SQL (structured query language) Conduct risk management processes (e.g., methods for assessing and mitigating risk) Utilize Hadoop, Java, Python, SQL, Hive, and PIG to explore data Collect, store, and monitor data Other duties as assigned

Requirements

Education/Training: Bachelor’s Degree in IT, Engineering, or another relevant discipline preferred
Active DoD 8570.01-M IAT Level II certification with Continuing Education (CE) - (CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, SSCP) required
Must have, or obtain upon hire, an active DoD 8570.01-M CSSP Infrastructure Support certification with Continuing Education (CE) - (CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, CND)
Experience: 6+ years of general (full-time) work experience
4+ years of direct experience in programming/scripting, troubleshooting code, SIEM technologies, and/or bulk data analysis
1+ years of experience working in a management or leadership role
Security: Must be a US citizen
Candidate must be in possession of a minimum DoD issued Secret Clearance and eligibility for TS/SCI
Candidates with active current TS/SCI preferred
Physical Requirements: Able to occasionally reach with hands and arms
Prolonged periods of computer screen use, while sitting or standing at a desk
Adhere to safety protocols when in work areas requiring use of PPE (e.g. eyewear, gloves, masks, hearing protection, steel toed shoes, etc.)
Able to safely lift and carry up to 20 pounds at a time

Responsibilities

Analyze data sources to provide actionable recommendations
Deploy, configure, and maintain the Elastic stack (Elasticsearch, Logstash, Kibana) in a scalable and highly available environment
Develop and maintain data pipelines to ingest, process, and enrich log data from various sources into Elasticsearch
Design, develop, and maintain insightful and actionable dashboards in Kibana to monitor system performance, security events, and application health
Participate in on-call rotation for after-hours support
Document system configurations, procedures, and troubleshooting steps
Develop strategic insights from large data sets
Present technical information to technical and non-technical audiences
Manipulate and clean large, disparate datasets for bulk analysis to identify connections
Utilize different programming languages to write code, open files, read files, and write output to different files
Conduct queries and develop algorithms to analyze data structures
Generate queries and reports
Use basic descriptive statistics and techniques (e.g., normality, model distribution, scatter plots)
Utilize data analysis tools (e.g., Excel, STATA SAS, SPSS)
Employ data mining and data warehousing principles
Demonstrate knowledge of query languages such as SQL (structured query language)
Conduct risk management processes (e.g., methods for assessing and mitigating risk)
Utilize Hadoop, Java, Python, SQL, Hive, and PIG to explore data
Collect, store, and monitor data
Other duties as assigned