Cloud Software Engineer - Full-Stack and AI - Junior Level at Redhorse Corporation

About the Organization

Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.

Position Description

• Cloud Engineering & Development: Assist in developing, testing, deploying, and maintaining cloud-native microservices and applications primarily utilizing AWS and/or Azure (GovCloud/commercial).
• Data Processing & Backend Systems: Support the implementation of resilient data processing pipelines, event-driven components, and APIs designed to handle high-throughput cyber datasets.
• Full-Stack & Web UI Development: Develop, test, and maintain responsive Web User Interfaces (UIs), front-end components, and dashboards that enable intuitive data visualization, analytics, and operational workflows.
• AI & Machine Learning Integration: Assist in connecting AI/ML models, cognitive services, vector databases, and Large Language Model (LLM) APIs into core analytics workflows under the guidance of senior technical staff.
• Cyber & Vulnerability Support: Collaborate with technical teams to assess application security, inspect software/mobile components, and support the development of custom utilities for data recovery and extraction.
• DevSecOps & Testing: Participate in CI/CD pipeline usage, write unit and automated integration tests, and utilize Infrastructure as Code (IaC) templates to support continuous delivery across secure environments.

Minimum Qualifications

• Education: Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline.
• Experience: 1+ YOE in software development (including internships, co-ops, research labs, or professional production experience).
• Core Languages: Foundational proficiency in at least one modern language such as Python, Java, C#, or C/C++,
• Clearance: Active Top Secret clearance is required.

Preferred Qualifications

• Exposure to or hands-on experience with core cloud services in AWS (e.g., S3, Lambda, EC2, IAM) or Microsoft Azure (e.g., Blob Storage, Azure Functions, VMs).
• Entry-level or associate cloud certifications (e.g., AWS Certified Cloud Practitioner / Solutions Architect – Associate, Microsoft Certified: Azure Fundamentals / Developer Associate).
• Familiarity with modern front-end frameworks and libraries such as React, Angular, Vue.js, or TypeScript/JavaScript.
• Basic experience consuming RESTful or GraphQL APIs and working with data visualization libraries (e.g., Chart.js, D3.js).
• Basic knowledge of containerization concepts using Docker.
• Exposure to relational or NoSQL databases, or familiarity with data platforms and messaging systems (e.g., Elasticsearch, Redis, Apache Kafka).
• Coursework, personal projects, or hands-on experience experimenting with AI/ML frameworks (e.g., PyTorch, Hugging Face, LangChain) or commercial LLM APIs.
• Basic understanding of TCP/IP networking fundamentals and protocol analysis tools (e.g., Wireshark).
• Familiarity with OS internals, reverse engineering fundamentals, or binary analysis tools (e.g., Ghidra) is a plus.