• Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications. • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular. • Write clean, testable, and maintainable code following secure coding and software engineering best practices. • Build and integrate modular microservices to improve scalability, maintainability, and interoperability. • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines. • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management. • Contribute to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-prem). • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis. • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases. • Collaborate with system engineers and architects to ensure interoperability across software ecosystems. • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships. • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems. • Write, test, and deploy software within secure or classified environments. • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments. • Support the transition of prototypes to operational systems, focusing on maintainability and observability.