Overview 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. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments. FTI delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology. Responsibilities Software Design & Development + 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. Cloud & Containerized Environments + 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). Systems Integration & Distributed Computing + 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. Data & Analytics Integration + 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. Security, Testing & Sustainment + 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. Education/Qualifications Minimum Requirements: + Must be a U.S. citizen and be willing to obtain and maintain a secruity 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. Preferred Qualifications: + 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 isrequired. #LI-SB1 #LI-Remote ID2025-6894 CategoryEngineering TypeRegular Full-Time Location : LocationUS-TX-Dallas TelecommuteYes Clearance RequirementsNo clearance