Description

The IDOL team in the Intel division at Leidos currently has an opening for a fully cleared Offensive

Software Engineer for the Reston/Chantilly, VA areas. In support of a DoD/intel program, the engineer will

develop, maintain and enhance complex and diverse software systems. The engineer will support research,

engineering, and development of innovative solutions to support operational cyber missions. Work includes

engineering robust infrastructure, end-point capabilities, and command and control systems. The successful

candidates will have the opportunity to work independently and as part of a team.

This position requires application developer support to maintain and enhance an existing social media data

exploitation platform, and to maintain and enhance an existing collection requirements management system.

The Sponsor also requires reverse engineering support to maintain and enhance access to social media data.

Primary Responsibilities

List daily duties and/or specific job responsibilities.

• Work closely with the Sponsor’s product owner and program manager to deliver user stories

necessary to realize product vision.

• Coordinate with multiple entities, including mission partners, to ensure tools meet defined

requirements.

• Support data engineering efforts to analyze large data sets to derive data relationships.
• Ensure all security vulnerabilities are addressed as appropriate by severity and maintain security

accreditation.

• Maintain all source code in Sponsor-wide, remote Git repository.
• Shall work with network inspection tools to capture and analyze network traffic.
• Shalldefeat certificate pinning while collecting data.
• Shall reverse engineer and document mobile applications.
• Develop and document Linux OS and shell scripts. Basic Qualifications

Bachelor's degree and 15+ years' experience. Additional experience in lieu of degree.

Experience with ARM, PowerPC, and NIPS assembly · Operating System and Kernel level development experience

Vulnerability research or software reverse engineering skills

Experience using jira , bitbucket, confluence, bamboo and/or Git, GitLab · Experience using vmware and exsi servers

Experience developing object orient app in python

Understanding of operating system internals for Windows, iOS, Linux, and/or Android, such as process synchronization techniques (i.e., semaphores, messages, threading), process scheduling, resource and device access

Experience developing on older operating systems such as XP and 2003 · Mobile development experience

Experience working with network inspection tools to capture and analyze network traffic.

Demonstrated experience with the following:

Developing and documenting scripts on Linux OS, with Python

Working with proxies such as Charles and Burp Suite.

Reverse engineering mobile and web applications.

Working with iOS frameworks and SDKs as it relates to jailbreaking.

Working with Dalvik bytecode and decompiled Android APK files.

Developing an Extract, Transform, and Load (ETL) pipeline in Python, specifically utilizing the Bonobo framework.

Automation technologies such as Selenium.

Understanding of digital techniques and technologies to mitigate technical signatures.

Digital anti-fraud techniques and technologies.

Mobile emulation for application testing and reverse engineering purposes. Encryption and decryption methodologies.

Designing, developing, querying and maintaining ElasticSearch and related technologies · Demonstrated experience developing on Linux platforms.

Managing and developing software applications in an AWS environment. Working with geo-locational data at both the backend and the application tier. Developing software in a DevOps environment.

Maintaining Jenkins Continuous Integration/Continuous Delivery (CI/CD) pipelines with automated testing and deployment.

Using Git as a source code repository.

Pay Range:

Pay Range $142,350.00 - $219,000.00 - $295,650.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.