AI/ML Software Engineer
FTI - Frontier Technology Inc.
full-time
Posted on:
Location Type: Remote
Location: Remote • Colorado, Florida • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AngularAWSCloudDistributed SystemsDockerJavaJenkinsKafkaKubernetesMicroservicesMongoDBPostgresPythonRedisTerraformTypeScript
About the role
- 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.
- Collaborate with system engineers and architects to ensure interoperability across software ecosystems.
- 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.
- 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
- 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.
- Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
- Experience developing or integrating analytics and AI models into production systems (preferred).
- Familiarity with databases such as PostgreSQL, MongoDB, or graph databases (preferred).
- Experience deploying code in IL4–IL6 or edge/disconnected environments (preferred).
- Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK) (preferred).
- Active Secret clearance (TS/SCI preferred) (preferred).
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (preferred).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
JavaPythonC++TypeScriptAngularDockerKubernetesCI/CDKafkaRedis
Soft skills
collaborationproblem-solvingcommunicationadaptabilityattention to detail
Certifications
Active Secret clearanceTS/SCI clearanceBachelor’s degree in Computer ScienceBachelor’s degree in Software Engineering