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Malware Reverse Engineer

Job in Waldorf, Charles County, Maryland, 20602, USA
Listing for: Nava
Full Time position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 190000 USD Yearly USD 120000.00 190000.00 YEAR
Job Description & How to Apply Below

Be Challenged and Make a Difference

In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At Ana Vation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture.

Description of Task to be Performed:

Ana Vation is looking for a talented Malware Reverse Engineer who is passionate about supporting National Security missions. The ideal candidate appreciates partnering with our customer and a group of cybersecurity experts to build environments and analyze the threat actor intent of malware in support of military intelligence missions. This position is full time on-site in Annapolis Junction, Maryland.

Position Responsibilities:

Perform surface, dynamic, static, manual, and automated analysis on malicious software to determine its nature, capabilities, and potential impact. Analyze and reverse-engineer compiled executable code to understand its interactions with the environment and gain intelligence on its function and behavior. Evaluate malware attack capabilities, including transmission characteristics, attributes, and the intended purpose of the software, to understand its threat potential. Work closely with intelligence professionals to interpret the threat's intentions and capabilities and prepare detailed reports and studies on these findings.

Additionally, provide technical expertise on the necessary hardware and software environments for effective malware triage and analysis.

Required Qualifications:
  • Clearance: U.S. Citizen, SCI within last 2 years.
  • Location: Full time on-site in Annapolis Junction, Maryland.
  • Experience and knowledge:
    • Four or more years of experience in a Reverse Engineering role
    • Four years of experience with program languages such as C/C++ and Python.

      - Four years of experience with machine architecture, operating system internals, file system and memory management, and assembly language (x64, ARM, MIPS).
    • Proficient with static and dynamic reverse engineering techniques such as disassembly/decompilation, imports, strings, process monitoring, file system monitoring, network traffic capture, debugging, sandboxing, unpacking and deobfuscation.
    • Skilled at analyzing compiled and interpreted programming languages.
    • Experience with tools like IDA Pro, Ghidra, Hopper, Binary Ninja, Frida, PE Explorer, objdump, etc.
    • Familiar with dynamic tools used for monitoring malware behavior. Experience with tools like kernel and process debuggers, process explorer, Wireshark.
    • Familiarity with automated analysis systems (e.g. Cuckoo Sandbox) and open-source intelligence resources (e.g. Virus Total) for initial triage and quick identification of well-known malware.
    • Ability to write detailed technical reports on analysis findings and to present reports to stakeholders. Familiarity with MITRE ATT&CK framework, TTPs, IOCs, and CVEs to provide standard nomenclature.
    • Familiarity with threat sharing platforms (MISP) and threat intelligence interchange standards (STIX, TAXII).
Preferred Qualifications:
  • Clearance: Polygraph within last 5 years
  • Education: Bachelor's degree or higher in Computer Science, Information Systems, or a related field.
  • Certification: Certified Ethical Hacker (CEH),
  • Experience and Knowledge: Six or more years of experience in a Reverse Engineering role.
  • Malware sandbox analysis and forensics
    • Ability to construct analysis sandboxes and to simulate necessary infrastructure to enable malware samples to execute (such as simulating Internet connectivity and DNS resolution).
    • Ability to perform forensic analysis of sandbox environment to detect changes made by the malware sampled during dynamic analysis. This includes detecting new, deleted, or modified files, changes to…
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