
Junior Cloud Software Engineer (Full-Stack & AI)
Redhorse Corporation
Gainesville, VA • 12m ago • On-site
Junior
On-site
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Quick Facts
- Role: Junior Cloud Software Engineer (Full-Stack & AI)
- Focus: Cloud-native microservices, data processing/visualization, and AI/ML + LLM integration
Description
Build and enhance enterprise-scale, AI-enabled data processing and visualization systems for mission-critical federal environments. You will develop backend microservices, responsive Web UIs for analysts and end-users, and connect AI/ML/LLM capabilities into core analytics workflows. You will also support security analysis and participate in DevSecOps testing and CI/CD practices.
Responsibilities
- Assist in developing, testing, deploying, and maintaining cloud-native microservices and applications (AWS and/or Azure, including GovCloud/commercial)
- Support resilient, event-driven data processing pipelines and APIs for high-throughput cyber datasets
- Develop and maintain responsive Web UIs, dashboards, and front-end components for data visualization, analytics, and operational workflows
- Integrate AI/ML models and services (including vector databases and LLM APIs) into analytics workflows under senior technical guidance
- Support cyber and vulnerability activities, including application security assessment and inspection of software/mobile components, plus utilities for data recovery/extraction
- Participate in CI/CD, write unit and automated integration tests, and use Infrastructure as Code (IaC) templates to enable continuous delivery across secure environments
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or related technical discipline
- 1+ years of software development experience (including internships, co-ops, research labs, or production experience)
- Foundational proficiency in at least one modern language: Python, Java, C#, or C/C++
- Active Top Secret clearance
Benefits
- Comprehensive benefits program and potential performance-based or incentive compensation (as applicable)
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