Responsibilities
- Design and implement APIs, data pipelines, and simulation runtime logic.
- 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.
- Contribute to secure deployments across hybrid or disconnected environments.
- Develop distributed systems and data integration frameworks using message buses.
- Engineer data flow between analytic, AI, and simulation components.
- Collaborate with system engineers and architects to ensure interoperability across software ecosystems.
- Build and manage databases and model complex data relationships.
- Write, test, and deploy software within secure or classified environments.
Qualifications
- Must be a U.S. citizen and be willing to obtain and maintain a security clearance.
- 6–10+ years of professional software engineering experience.
- 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in DoD/DoW environments.
- Strong full‑stack or systems engineering background.
- Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
- Experience building containerized, cloud‑native solutions using Docker, Kubernetes, and CI/CD pipelines.
- Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
- Experience developing or integrating analytics and AI models into production systems.
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