Mid-Level System Vulnerability Analyst [$267k/yr+] TS/SCI-FSP

SYSTOLIC, INC.
Annapolis Junction, MD, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Compensation
$267,000.0
Working hours
Regular working hours

Tech stack

Data Analysis Software System Penetration Testing Systems Engineering Network Analysis Python (Programming Language) Network Architecture Network Protocols Red Team (Cyber Security) Zero Trust Network Access Computer Network Operations Mitre Att&ck Purple Team (Cyber Security)
+1 more
Cyber Warfare

Job description

  • Perform red and blue/purple team activities.
  • Conduct CNO, network infrastructure architecture, and hardening.
  • Execute network analysis and anomaly detection.
  • Analyze data for malicious or unauthorized activity.
  • Engage in penetration testing, system security, and cyber warfare/cyber defense.
  • Work with network protocols.
  • Python experience is a plus., * Perform red team and blue/purple team activities.
  • Conduct OCONUS travel as required.
  • Apply Zero Trust principles related to CNE, CNO, network infrastructure, architecture, and hardening.
  • Perform network analysis, anomaly detection, and identify IOCs.
  • Utilize MITRE ATT&CK framework and NIST/ISO 27001 standards.
  • Analyze data from various sources to discover malicious or unauthorized activity.
  • Engage in penetration testing and system security.
  • Apply knowledge of network protocols and cyber warfare/cyber defense.
  • Utilize Python for scripting and analysis (a plus).
  • Contribute to Systems Engineering efforts.

Requirements

  • Degree: Technical bachelor’s degree or equivalent experience
  • Years of experience: 11+ years
  • Total Compensation: $267k+ yearly

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.clearancejobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:38 min

Using language models to self-detect and flag software vulnerabilities

Julian Totzek-Hallhuber Julian Totzek-Hallhuber · World Congress 2026 Europe

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

4:01 min

Finding personal fulfillment in the cybersecurity industry

LIVE

5:30 min

Identifying non-coding software vulnerabilities and organizational risks

Tino Sokic · World Congress 2023

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

1:31 min

Overcoming technochauvinism and evaluating algorithmic training dataset integrity

Prathyusha Charagondla · LIVE

Videos

See all

Related articles

See all