Mid-Level Cloud Software Engineer, AI & Full-Stack

Redhorse Corporation; Quantico (VA); On-site; USD 90,000 - 130,000; Full time

Job summary

Redhorse Corporation is seeking a Cloud Software Engineer (Full-Stack and AI) at mid-level to join its Cyber Analytics team. You will design, develop, and deploy enterprise-scale, AI-enabled data processing and visualization systems for federal customers.

You will work across hybrid, on-premises, and multi-cloud environments (AWS/Azure GovCloud), building back-end services and responsive UIs, integrating AI workflows, and collaborating with architects, data scientists, and stakeholders.

Qualifications

• Active Top Secret clearance required.
• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or related STEM.
• 2+ years in software development delivering scalable applications.
• Backend proficiency with Python, Java, C#, or C/C++, plus scripting (Bash/PowerShell).
• Cloud experience with AWS or Azure.

Responsibilities

• Develop, test, and maintain microservices across AWS and Azure GovCloud.
• Build modern UIs with React/Angular/Vue to deliver insights to analysts.
• Integrate AI/ML workflows and LLM capabilities into data pipelines.
• Support distributed data processing workflows and event-driven systems.
• Collaborate with architects, data scientists, and stakeholders to translate requirements.
• Implement CI/CD and Infrastructure as Code for secure deployments.

Skills

Python

Java

C#

C/C++

Bash

PowerShell

REST APIs

Git

Education

Bachelor's degree in Computer Science / Computer Engineering / Software Engineering / STEM

Tools

React

Angular

Vue.js

Docker

Kubernetes

Terraform

AWS

Azure

Job description

Redhorse Corporation is seeking a Cloud Software Engineer (Full-Stack and AI) at mid-level to join its Cyber Analytics team. You will design, develop, and deploy enterprise-scale, AI-enabled data processing and visualization systems for federal customers.

You will work across hybrid, on-premises, and multi-cloud environments (AWS/Azure GovCloud), building back-end services and responsive UIs, integrating AI workflows, and collaborating with architects, data scientists, and stakeholders.