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# Forensic Software Developer TS

- **Company:** Parsons Corporation
- **Location:** Quantico, VA, United States
- **Experience:** Experienced
- **Salary:** $103,500.0 - $181,100.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, C++ (Programming Language), Cyber Security, Information Systems, Computer Engineering, Computer Forensics, Data Visualization, Python (Programming Language), Tensorflow, Reverse Engineering, Software Engineering, Software Systems, Pytorch, Kubernetes, Information Technology, Data Analytics, Software Library, Docker, Vulnerability Analysis, Programming Languages
- **Published:** September 1, 2026
- **Apply:** https://dejobs.org/x/x/6BC062796FA14796BE5B4DCE9F864693/job/

## About the Role

* Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, Computer Information Security, Computer Security, Computer Forensics, Information Systems, or a closely related field.
 * 3 years of experience in an agile development environment, specifically in computer security
 * Clearance: TS, willingness to get a CI Polygraph

What Desired Skills You'll Bring:

 * Experience with vulnerability research and reverse engineering
 * Experience with forensic analysis of computer data

## Description

Parsons is looking for an amazingly talented Forensic Software Developer to join our team! In this role you will be primarily working on Data Visualization Program.

What You'll Be Doing:

 * Work closely with engineers, analysts, and other developers to brainstorm and implement creative solutions for customer needs.

 * Share expertise in software development, data format visualization, and data analytics to guide the team toward achieving program objectives.

 * Use Vulnerability Research and Reverse Engineering skills to make locked or obfuscated data usable

 * Contribute to the development of high-quality software solutions, leveraging programming languages like Python and C/C++

 * Collaborate with team members to test and refine code, ensuring reliability, scalability, and performance.

 * Work with tools and frameworks such as AWS, Docker, Kubernetes, and machine learning libraries (e.g., PyTorch, TensorFlow) to enhance the team's capabilities.

 * Participate in brainstorming sessions to identify innovative approaches and refine technical designs.

 * Provide regular updates to team members and stakeholders, fostering transparency and collaboration.

 * Help the team stay ahead of the curve by researching and integrating emerging technologies and methodologies.

 * Take pride in seeing projects through from conception to deployment, knowing that your contributions make a tangible difference.


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