ManTech is seeking an experienced C# Developer in Chantilly, VA . As a Software Engineer on our team, you will support a project that delivers forensics data, analytics, and software development expertise to the Intelligence Community.
Responsibilities include, but are not limited to:
Develop software for specific applications to process forensic data using C#
Performs applied research and development to analyze, design, and identify desired programmatic behaviors
Contribute to the enhancement of current software; adding new features to a current platform
Develop new software solutions based on team tasking directly from customer requests
Evaluate and analyze complex and malicious code using forensics tools, including disassemblers, debuggers, hex editors, un-packers, virtual machines, and network sniffers
Leverage your own creative license to solve technical challenges
Reverse engineer software applications to identify and understand significant forensic artifacts
Take ownership of your area of responsibility and increase capabilities that push the mission forward
Required Qualifications:
4+ years’ experience with coding in C#
Bachelor’s degree in Computer Science, Information Technology, Mathematics, or a related technical field from an accredited college or university. 4 additional years of related experience can be substituted for degree
Preferred Qualifications:
Experience with digital forensics or reverse engineering
Experience as a .NET developer
Experience with disassembler tool(s) such as IDA, Ghidra or Binary Ninja
Experience with development in large code base
Experience with in-depth, cutting-edge digital forensics work
Experience with using the Atlassian Product Suite (Confluence, Jira, Bitbucket., etc.)
Experience with developing in C# on Linux
Experience with Visual Studio on Windows
Knowledge of static and dynamic analysis tools such as X-Ways, FTK Imager, WinHex, Windbg, x64dbg or others
Security Clearance Requirements:
Active/Current TS/SCI with Polygraph
Physical Requirements: Must be able to remain in a stationary position 50% of the time.
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