Role Description
:
As a Software Engineer, you will be responsible for the design, development, testing, and management of application development projects in support of the IT infrastructure.
You will develop and implement technical efforts to design, build, and deploy applications at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics to support a forensic and investigative ecosystem.
Key Responsibilities
Design, develop, test, and manage application development projects in support of IT infrastructure Integrate third-party components and introduce new custom capabilities Modify existing code and recommend process improvements Automate operations and maintenance tasks Develop and implement technical efforts for large-scale data processing and advanced analytics Participate in all aspects of the software development life cycle Contribute to planning, requirements, development, testing, and quality assurance Participate in technical project milestone reviews and code architecture sessions Provide resource estimation and development best practices knowledge transfer Participate in Program Increments (PIs) and Agile Release Train (ART) activities Support the multi-enclave environment (Unclassified, Secret, and Top Secret) Collaborate with cross-functional teams to ensure seamless integration Qualifications:
Clearance Level:
Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI) Education:
Bachelor's degree in Computer Science, Software Engineering, or related field Experience:
Minimum of 5 years of experience in software engineering Experience with Agile methodologies Understanding of forensic and investigative system requirements Proficiency with: One or more programming languages: Java, .NET(C#), Python Software architecture principles and patterns Object-oriented design and development Relational Databases and SQL (MySQL, PostgreSQL, Microsoft SQL) REST API development and integration Git and other source control management systems Software development lifecycle (SDLC) methodologies Unit testing and test-driven development