AI/ML Software Engineer
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Job Description
AI/ML Software Engineer designing, building, and deploying secure software systems for defense missions. Collaborate across teams and solve technical challenges in secure, distributed environments.
Responsibilities:
- 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 (GitLab, Jenkins, or equivalent).
- 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.
- 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.
Requirements:
- Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
- 6-10+ years of professional software engineering experience.
- 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (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.
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
- Active Secret clearance preferred; ability to obtain one is required.
Benefits:
- Telecommute
- No clearance required
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