Cyber Systems Engineer, Level 5

Northrop Grumman

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Quick summary

Work type
On-site
Location
Colorado Springs, CO
Employment
Full-time
Posted
15 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $195k
$134k $255k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $145,700–$243,400.

Based on 240 similar postings.

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About Northrop Grumman

Northrop Grumman is a leading global aerospace and defense technology company providing systems in autonomous systems, cyber, C4ISR, space, strike, and logistics. Industry: Aerospace & Defense

Northrop Grumman currently has 629 open roles on FindRole.

Listed pay typically runs $117,500–$176,300 across 314 roles with salary data.

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At a glance

TL;DR · Cyber Systems Engineer, Level 5

The Cyber Systems Engineer - level 5 joins the Space Sector team to architect, deploy, and maintain the Elastic Stack within a primarily Linux-based environment. This role involves managing Elasticsearch, Logstash, Kibana, and Elastic Agent/Fleet/Defend components, including version upgrades, patching, and capacity planning. The engineer will develop automation using Bash, Python, PowerShell, Ansible, or Terraform to manage infrastructure-as-code and CI/CD pipelines. Key responsibilities include designing log ingestion pipelines for system, application, and network logs, normalizing data using regular expressions and grok, and building Kibana dashboards for threat hunting and incident analysis. The position requires expertise in KQL, ES|QL, and Lucene to support security operations. The work focuses on providing high-fidelity telemetry and detection logic to improve visibility and support forensic-quality evidence for cyber defense.

What you'll do

  • Architect, deploy, and manage the lifecycle of Elastic Stack components in a Linux environment.
  • Design highly available and scalable Elastic Stack architectures across distributed and clustered environments.
  • Develop automation for deployments and configuration management using scripting and infrastructure-as-code tools.
  • Design and optimize Logstash pipelines to ingest and normalize logs from diverse system and network sources.
  • Integrate system metrics and SNMP traps into Elastic for structured analysis and alerting.
  • Build Kibana dashboards and complex queries to support threat hunting and incident analysis.
  • Create and tune security use cases and correlation rules using Elastic Defend.
  • Monitor environment health and provide forensic-quality data to support security incident investigations.

What we're looking for

  • Must possess an active US Government Top Secret/SCI security clearance.
  • Must possess, or be able to obtain within two months, a DoD 8570 IAT Level II certification.
  • Bachelor’s degree in a STEM field with 12 years of experience, Master’s with 10 years, or PhD with 8 years.
  • Hands-on experience architecting, deploying, and maintaining Elastic Stack or a similar enterprise SIEM platform like Splunk or LogRhythm.
  • Proven experience designing and managing log and metric ingestion pipelines in a primarily Linux-based environment.
  • Proficiency in building Kibana dashboards and complex queries using Elastic search languages like KQL, ES|QL, or Lucene.
  • Strong background in Linux and solid working knowledge of Windows operating systems and applications.
  • US Government 8570 IAT Level III certification (preferred).

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