ACTIVE TS/SCI CLEARANCE REQUIREDJob Location: Chantilly, VAThe RoleWe are seeking a driven, adaptable, and "scrappy" Junior Software Engineer to join a highly focused, tight-knit team. Your primary mission will be helping to build a robust modeling and simulation (M&S) capability focused on communication networks for the defense sector.
This is not a siloed position. We need a versatile coder who is comfortable diving into any part of the stack-from backend logic and database integration to deployment pipelines. The most critical requirement for this role is not years of experience, but an aggressive, relentless drive to tackle and solve incredibly hard problems.
What You Will Do- Full-Stack Development: Write clean, adaptable code across various layers of the technology stack to support complex M&S tools and communication models.
- Rapid Iteration: Work within a small team to quickly prototype, build, and deploy custom solutions that adapt to emerging tactical needs.
- Problem Solving: Dive headfirst into ambiguous technical challenges, taking ownership of roadblocks and finding scrappy, effective workarounds.
- Data Integration: Structure and query databases to handle the complex, dynamic data required for robust simulations.
Required Qualifications- Clearance: Active TS/SCI clearance is strictly required.
- Technical Foundation: Proficiency in at least one Object-Oriented Programming (OOP) language (e.g., Python, Java, C++).
- Version Control: Solid working knowledge of Git and collaborative coding workflows.
- Data Systems: Working knowledge of databases (e.g., relational, graph, or NoSQL) and how to interact with them programmatically.
- The "X-Factor": A demonstrated, aggressive appetite for solving difficult problems, learning new technologies on the fly, and adapting to shifting requirements.
Preferred Qualifications- Infrastructure & Deployment: Knowledge of containerization and orchestration tools, specifically Docker and Kubernetes, to support our highly adaptable software ecosystem.
- Domain Interest: Familiarity with or interest in agent-based modeling, geospatial data, or complex systems simulation is a plus.
