Countermeasures Engineer

Leidos

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Shiloh, IL
Salary: $87,100–$157,450 / yr
Employment: Full-time
Posted: 22 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $173k

This role $122k

$73k $223k

below market most similar roles pay here above market

This role pays less than 84% of similar roles. Most pay $137,000–$208,250 — the blue band above. At the midpoint, this role pays about $122k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations.

Leidos currently has 426 open roles on FindRole.

Listed pay typically runs $92,300–$166,850 across 344 roles with salary data.

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At a glance

TL;DR · Countermeasures Engineer

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JOB TITLE: Countermeasures Engineer The Countermeasures Engineer supports the GSM-O II program, providing network operations and cyber defense for the Defense Information Systems Agency. This role involves designing and deploying custom countermeasures to neutralize advanced threats and exposing adversary activities on classified terrain. You will build automated cybersecurity solutions, data correlation engines, and processing pipelines using Detection-as-Code principles. Key responsibilities include developing malware detection capabilities, analyzing threat intelligence, and maintaining situational awareness of nation-state tactics. Required technical skills include proficiency in Python, Java, Ruby, or C++, along with experience in TCP/IP, network protocols, and Linux/Windows administration. You will utilize tools such as Git, Sigma, Yara, Snort, and Suricata. The work focuses on countering Advanced Persistent Threats (APTs) to protect mission-critical DoD networks and infrastructure from sophisticated cyber campaigns.

Skills

Python Java Ruby C++ DevSecOps AWS Azure VMware Linux Windows Bash PowerShell Git Sigma Yara Snort Suricata TCP/IP API Development Malware Analysis Reverse Engineering

What you'll do

Design and deploy custom countermeasures to neutralize advanced threats on classified terrain.
Develop custom malware detection capabilities tailored to emerging threat actor techniques.
Apply Detection-as-Code principles to create scalable, version-controlled security solutions.
Architect and build automated cybersecurity solutions and data correlation engines for enterprise-wide protection.
Conduct agile development and maintenance of automation scripts using modern DevSecOps practices.
Analyze intelligence reports to identify new vulnerabilities, malware families, and threat actor TTPs.
Translate threat intelligence into actionable defensive measures and detection capabilities.

What we're looking for

Active DoD Top-Secret Clearance.
Bachelor's degree in Computer Science, Cybersecurity, Computer Engineering, or a related field.
8+ years of hands-on experience in a related field or an equivalent combination of education and experience.
DoD 8570 IAT Level II certification (Security+ CE or equivalent) required within 180 days.
Strong programming proficiency in at least one modern language: Python, Java, Ruby, or C++.
Proven experience developing custom malware detection capabilities.
Advanced understanding of TCP/IP, network protocols, ports, traffic flow analysis, and defense-in-depth security architecture.
Deep knowledge of threat actor lifecycles, attack vectors, exploitation methods, and TTPs.
UNIX/Linux administrative skills.
Direct experience with DISA and DoD network environments (preferred).
Proven track record countering APTs and nation-state threats targeting DoD networks (preferred).
DevSecOps experience developing and supporting secure development environments (preferred).
Automation expertise using Bash, Python, PowerShell, or other scripting languages (preferred).
Linux and Windows system administration in cloud or virtualized environments (preferred).
API development and integration experience (preferred).
Proficiency with security tools: Git, Sigma, Yara, Snort, Suricata (preferred).
Hands-on malware analysis using reverse engineering techniques (preferred).
GREM, OSCP, GCFA, CISSP, CASP, or GIAC certifications (preferred).

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