Back End Software Developer - Clearance Required

Responsibilities

• Develop and maintain backend services and application logic that support modeling, simulation, and analytical workflows within RAPTR®
• Translate analyst and data scientist needs into functional software features, including data ingestion, scenario configuration, and results management
• Design and implement APIs and service layers that enable interaction between the platform, analytical tools, and external systems
• Build and manage data pipelines and storage solutions to support large-scale analytical runs and scenario outputs
• Ensure efficient handling of high-volume simulation data, including performance optimization and scalability
• Collaborate closely with trade space analysts, data scientists, and systems engineers to ensure backend capabilities align with analytical objectives
• Integrate backend services with front-end interfaces and visualization tools
• Implement security best practices to protect sensitive and mission-critical data
• Support integration with engineering artifacts such as CONOPs, system architectures, interfaces, and data models

Qualifications

• Required Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, or related technical field; 5–10 years of experience in backend software development; proficiency in one or more programming languages such as Python, Java, or Node.js; experience designing and implementing RESTful APIs and service-oriented architectures; experience with relational and/or NoSQL databases; experience building or supporting data-intensive applications or analytical platforms; familiarity with backend frameworks; strong understanding of software design principles, performance optimization, and scalable system design; ability to work in a fast-paced, evolving environment with loosely defined requirements; strong communication and collaboration skills.
• Preferred Qualifications: Experience supporting modeling & simulation, wargaming, or analytical platforms; familiarity with cloud environments; experience building data pipelines, ETL processes, or distributed data systems; exposure to space domain applications or defense-related systems; experience working with data scientists or integrating machine learning workflows; knowledge of containerization or orchestration tools; Active TS/SCI clearance.