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Posted 26 July, 2026

Mobile Forensics Software Engineer

MANTECH
Herndon, VA, US Full Time

Job Description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

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MANTECH seeks a motivated, career and customer-oriented Mobile Forensics Software Engineer to join our team in Herndon, Virginia. Join a highly recognized elite team of technical leaders delivering advanced Digital Forensics solutions This role supports high-visibility US Government projects, creating cutting-edge mobile application forensic processing capabilities that significantly impact our nation’s security.

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Responsibilities include, but are not limited to:

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  • Reverse engineer mobile software applications to identify and understand significant forensic artifacts.
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  • Develop software modules to process mobile application forensic data using Python.
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  • Contribute to the enhancement and improvement of current software modules by adding new features and fixing bugs.
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  • Develop new software solutions based on team tasking and technical requirements.
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  • Use creative license and demonstrate initiative and ingenuity to solve technical challenges.
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  • Demonstrate ownership of your area of responsibility to increase capabilities that push the mission forward.
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Minimum Qualifications:

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  • Bachelor’s degree in Computer Science or similar technical field or High School Diploma with an additional 6 years of coding experience.
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  • 10+ years of experience coding in Python, C, C++, C#/.NET, or Java.
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Preferred Qualifications:

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  • 2+ years of experience with digital forensics or reverse engineering.
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  • Experience with mobile forensics technologies and methodologies.
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  • Knowledge of mobile application development platforms such as Android, iOS, Flutter, or React Native.
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  • Knowledge of Agile development frameworks and methodologies.
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Security Clearance Requirements:

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  • Active/Current TS/SCI clearance with the ability to obtain and maintain a polygraph clearance after hire.
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Physical Requirements:

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  • Must be able to remain in a stationary position 50% of the time.
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