AI/ML Software Engineer

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 is required.

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