Cloud Software Engineer (Full-Stack and AI) - Junior Level with Security Clearance

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.

Redhorse Corporation's Cyber Analytics team is seeking a motivated Junior Cloud Software Engineer to contribute to the development, deployment, and enhancement of enterprise-scale, AI-enabled data processing and visualization systems. This position supports mission-critical federal customer environments operating across hybrid, on-premises, and multi-cloud (AWS/Azure) ecosystems. In this role, you will work alongside senior engineers and architects across the software development lifecycle.

Responsibilities include building robust backend microservices, integrating Artificial Intelligence (AI/ML) capabilities, and developing clean, intuitive Web User Interfaces (UIs) for analysts and end-users. The engineer will also assist with technical research, security analysis, and software component assessments. Successful candidates will bring a strong foundation in computer science, an eagerness to learn modern cloud and AI technologies, and solid communication skills to collaborate within a multidisciplinary team.

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. $90,000 - $110,000 a year The salary range provided for this position represents the anticipated base salary for successful candidates.

Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable. Redhorse Corporation is an equal opportunity employer.

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability.

You can request reasonable accommodations by contacting Talent Acquisition at Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.