AI/ML Software Engineer

Frontier Technology Inc. (FTI) is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. The role requires a hands-on engineer who enjoys coding and solving 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
• 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
• Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML
• 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
• Experience deploying code in IL4–IL6 or edge/disconnected environments
• Familiarity with databases such as PostgreSQL, MongoDB, or graph databases
• Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK)
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field
• Active Secret clearance preferred; ability to obtain one is required