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AI/ML Software Engineer
- Frontier Technology Inc. (Chesapeake, VA)
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Overview
Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transfor Finish (https://fti-net.icims.com/icims2/servlet/icims2?module=AppProfileEdit&action=switchEditTab&hashed=350821803&type=next#!) mation, 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 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.
+ 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.).
+ Exposure to DevSecOps, Zero-Trust, or ATO/RMF processes in DoD environments.
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).
+ Active Secret clearance (TS/SCI preferred).
+ Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
#LI-SB1
#LI-Remote
ID2025-6931
CategoryEngineering
TypeRegular Full-Time
Location : LocationUS-VA-Chesapeake
TelecommuteYes
Clearance RequirementsNo clearance
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