AI/ML Software Engineer

Frontier Technology

Information Technology

Chesapeake, VA - USA

Senior Specialist / Project Manager

Hybrid

Experteer Overview

In this role, you design, build, and deploy secure, scalable software and data systems to support mission operations, analytics, and simulation environments. You will work hands-on across the full stack, from APIs and data pipelines to distributed services, in secure, cloud-native and hybrid environments. You’ll translate AI/ML outputs into production-ready data services and runtimes that enable real-time mission use cases. This position offers the chance to contribute to mission-critical DoD/DoW and IC solutions with a focus on secure, scalable engineering and end-to-end delivery.

Responsibilities

Design and implement APIs, data pipelines, and simulation runtime logic to support mission applications
Develop software with Java, Python, C++, or TypeScript/Angular
Write secure, maintainable, testable code following best practices
Build modular microservices for scalability and interoperability
Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines
Define and apply Infrastructure-as-Code and automation scripts
Ensure secure deployments across hybrid or disconnected environments (IL4-IL6, AWS GovCloud, on-prem]
Develop distributed data integration frameworks using Kafka or Redis
Engineer data flows between analytics, AI, and simulation components for real-time use cases
Collaborate with system engineers for interoperability across software ecosystems
Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships
Develop data services feeding analytics pipelines or integrating AI/ML outputs into runtimes
Work with serialization formats such as JSON, Protobuf, GeoJSON, or KML
Write, test, and deploy software within secure or classified environments
Automate testing and monitoring for performance, reliability, and repeatable deployments
Support transition of prototypes to operational systems focusing on maintainability and observability

Key requirements

6-10+ years of professional software engineering experience
3+ years DevSecOps, Zero-Trust, or ATO/RMF in DoD/DoW environments
Strong full-stack or systems engineering background
Proficiency in Java, Python, C++, or TypeScript/Angular
Experience building containerized, cloud-native solutions with Docker, Kubernetes, and CI/CD
Understanding of distributed systems and message buses (Kafka, Redis)
Experience integrating analytics and AI models into production systems
U.S. citizenship and willingness to obtain security clearance

collaboration problem-solving communication Java Python C++

Description

In this role, you design, build, and deploy secure, scalable software and data systems to support mission operations, analytics, and simulat…

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