Posted 1mo ago

Digital Network Exploitation Analyst 3

@ RealmOne
Annapolis Junction, Maryland, United States
OnsiteFull Time
Responsibilities:evaluate opportunities, map networks, analyze data
Requirements Summary:Associate degree with 10+ years; Bachelor's 8+; Master's 6+; PhD 4+; CS/Engineering related fields; IT/IS degrees with CS coursework; SIGINT/AMOD tools experience; ML/AI for discovery; malware triage; active clearance with polygraph.
Technical Tools Mentioned:SIGINT tools, AMOD tools, Machine Learning, AI, Malware triage, Data analysis
Save
Mark Applied
Hide Job
Report & Hide
Job Description

RealmOne is FOCUSED on you! 

RealmOne was built on the principle that people matter first and foremost. We believe in providing a strong work/life balance by investing in our employees and encouraging professional and personal growth. We do this by offering exceptional benefits, flexible schedules, and the tools necessary to achieve success through paid training, mentoring, and the opportunity to work alongside top-notch industry professionals. 

Join us on this journey as we execute this mission-critical contract providing intelligence and cyber analysis support! 

Your effort and expertise are crucial to the success and execution of this impactful mission. This opportunity supports a team of Exploitation Analysts, Digital Network Exploitation Analysts, Target Digital Network Analysts, and Cyber Network Defense Analysts, responsible for improving, protecting, and defending our Nation’s Security. 

Job Description:

  • We are looking for a Digital Network Exploitation Analyst to evaluate target opportunities through comprehensive analysis of all-source data. The role involves mapping target networks and assisting in the development of detailed exploitation and operational plans. Responsibilities include analyzing SIGINT and cybersecurity data across various OSI network layers, understanding IP core infrastructure, communication devices, network connectivity, and traffic patterns. The analyst will need to develop new techniques as technology evolves. Collaboration is key, working with government, military, and contractor personnel to align on intelligence needs and mission relevance. The ideal candidate will use their curiosity and analytical skills to form hypotheses, select analysis methods, and integrate, evaluate, and interpret data to uncover insights. Findings and newly developed techniques will be documented and shared with teammates, stakeholders, and intelligence consumers.

The Digital Network Exploitation Analyst Level 3 shall possess the following capabilities:

  • Experience in computer or information systems design, development, or analysis.
  • Background in hardware/software engineering, programming, computer/network security, vulnerability analysis, penetration testing, computer forensics, information assurance, systems engineering, or network and systems administration. 

Qualifications:

  • An Associate’s Degree with 10 years of experience
  • A Bachelor’s Degree with 8 years of experience
  • A Master’s Degree with 6 years or experience
  • A PhD with 4 years of experience
  • A Degree in Computer Science or related fields (Engineering, Mathematics) may be considered relevant if programs contain a concentration of courses in the following foundational CS areas: algorithms, computer architecture (not network architecture), programming methodologies and languages, data structures, logic and computation, and advanced mathematics (for example, calculus, discrete mathematics).
  • Information Technology (IT) and Information Security (IS) degrees may be considered relevant if the programs contain the amount and type of coursework equivalent to a Computer Science (CS) major.   
  • Experience with SIGINT and AMOD tools.
  • Fluent with stored communications and passive resources.
  • Ability to understand raw traffic affiliated with metadata and the ability to leverage appropriate resources for development, sustainment, or attribution of data.
  • Experience with malware triage and characterization of zero day CNE malicious campaigns.
  • Experience with enhancement of findings with the use of Machine Learning and AI for focused discovery efforts.

Position requires active Security Clearance with appropriate Polygraph