AI/ML Software Engineer

FTI - Frontier Technology Inc.

AI/ML Software Engineer designing, building, and deploying secure software systems for defense missions. Collaborate across teams and solve technical challenges in secure, distributed environments.

Posted 6/12/2026full-timeRemote • Alabama • 🇺🇸 United StatesMid-LevelSeniorWebsite

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Hard Skills

JavaPythonC++TypeScriptAngularDockerKubernetesCI/CDPostgreSQLMongoDB

Soft Skills

communicationcollaborationproblem-solvingadaptabilityattention to detailcritical thinkingtime managementleadershiporganizational skillscreativity

Tools & Technologies

GitLabJenkinsKafkaRedisAWS GovCloudInfrastructure-as-Codedata pipelinessimulation runtime logicmicroservicesanalytics pipelines

Certifications & Qualifications

Bachelor's degree in Computer ScienceBachelor's degree in Software EngineeringActive Secret clearance

Industry Keywords

DevSecOpsZero-TrustATORMFDepartment of Defensedistributed systemssecure codingcloud-native serviceshybrid environmentsclassified environments

Tech Stack

Tools & technologies

AngularAWSCloudDistributed SystemsDockerJavaJenkinsKafkaKubernetesMicroservicesMongoDBPostgresPythonRedisTypeScript

About the role

Key responsibilities & impact

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.
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.
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

What you’ll need

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.
Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
Active Secret clearance preferred; ability to obtain one is required.

Benefits

Comp & perks

Telecommute
No clearance required