AI/ML Software Engineer

Frontier Technology, Inc. • Dayton, OH • 2h ago

AI/ML Software Engineer
ID
2025-6885
Category
Engineering
Type
Regular Full-Time
Location : Location
US-OH-Dayton
Telecommute
Yes
Clearance Requirements
No clearance
Overview
Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.
FTI is seeking a 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.
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 proto@types 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.
4-6 years of professional software engineering experience.
Strong full-stack or systems engineering background.
Proficiency in one or more of the following: Java, Python, C++, or TypeScript/Angular.
Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
Understanding of distributed systems and message buses (Kafka, Redis, etc.).
Preferred Qualifications:
Experience developing or integrating analytics and AI models into production systems.
Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
Experience deploying code in IL4-IL6 or edge/disconnected environments.
Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
Exposure to DevSecOps, Zero-Trust, or ATO/RMF processes

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