AI/ML Software Engineer

This is a fully remote position, open to applicants in Alabama.

📋 Description

• Design and create APIs, data pipelines, and simulation runtime logic that connect and facilitate mission applications.

• Develop software utilizing contemporary programming languages such as Java, Python, C++, or TypeScript/Angular.

• Write clean, testable, and maintainable code in adherence to secure coding practices and software engineering best practices.

• Construct and integrate modular microservices to enhance scalability, maintainability, and interoperability.

• Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or similar).

• Implement Infrastructure-as-Code and automation scripts to expedite deployment and configuration management.

• Contribute to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-premises).

• Develop distributed systems and data integration frameworks utilizing message buses such as Kafka or Redis.

• Engineer data flow between analytics, AI, and simulation components to support real-time mission scenarios.

• Build and manage databases (PostgreSQL, MongoDB, graph databases) and model complex data relationships.

• Develop data services that feed analytics pipelines or integrate AI/ML outputs into operational systems.

• Write, test, and deploy software in secure or classified environments.

• Automate testing and monitoring to guarantee performance, reliability, and repeatable deployments.

• Assist in transitioning prototypes to operational systems with a focus on maintainability and observability.

⛳️ Requirements

• Must be a U.S. citizen and willing to obtain and maintain a security clearance, as required.

• 6-10+ years of professional experience in software engineering.

• 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments.

• Strong background in full-stack or systems engineering.

• Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.

• Experience in creating containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.

• Comprehensive understanding of distributed systems and message buses (Kafka, Redis, etc.).

• Experience in 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