Unknown Company

AI/ML Software Engineer

chesapeake, va • Posted 4 days ago
Onsite Full Time IT & Technology

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.
  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • 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.
  • Write, test, and deploy software within secure or classified environments.
  • 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.

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