Data Science and Artificial Intelligence Branch; Full Stack Developer

Job Description

McBride has an exciting opportunity to support Allied Command Transformation (ACT) which is NATO’s leading agent for change : driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are : providing appropriate support to NATO missions and operations; leading NATO military transformation; improving relationships, interaction and practical cooperation with partners, nations and international organizations. ACT therefore leads Alliance concept development, capability development, training and lessons learned initiatives and provides unfettered military support to policy development within NATO.

Background : The contractor will report to the Technical Lead in the Data Science & AI branch. As a Full Stack Developer, the role focuses on designing and maintaining secure, scalable systems. Responsibilities include developing front-end and back-end solutions, integrating AI functionalities, and ensuring compliance with security standards. The role also involves contributing to new demonstrators and use cases, enhancing system performance, and maintaining detailed documentation.

You will be responsible for the following :

• Design, develop, and maintain secure, scalable, and high-performance front-end and back-end systems to support AI applications, using existing applications as a reference models .
• Build and maintain web-based user interfaces (UI) and dashboards for secure interaction with AI capabilities, tailored for classified environments.
• Develop and optimize server-side logic, APIs, and services to integrate AI functionalities seamlessly across workflows and systems.
• Implement authentication and access control mechanisms to ensure secure and compliant use of systems, aligning with data sovereignty policies.
• Design and develop containerized application environments (e.g., Docker) and integrate them with orchestration tools (e.g., Kubernetes) to ensure scalability and high availability.
• Collaborate with data engineers and AI engineers to integrate data pipelines, inference mechanisms, and AI model outputs into front-end and back-end systems.
• Develop robust error handling, logging, and performance monitoring solutions across the application stack to ensure reliable operation of platforms.
• Ensure compliance with security and privacy standards by implementing secure coding practices at all stages of development.
• Build automated testing frameworks to validate the stability, security, and performance of full-stack systems.
• Improve the scalability and flexibility of architectures by designing modular and reusable components across the stack.
• Provide support for the deployment, maintenance, and troubleshooting of systems in classified operational environments.
• Participate in the development of Minimum Viable Products (MVPs) and prototypes, assisting in delivering innovative solutions for mission objectives.
• Produce and maintain detailed documentation of development workflows, APIs, system architectures, and configurations to ensure knowledge continuity and operational transparency.
• Stay current with emerging tools and methods for full-stack development, enabling enhanced functionality and secure deployment.
• Support internal training efforts related to full-stack development, secure coding practices, and application management.
• Performs additional tasks as required by the Tech Lead or COTR related to the labor category.

Requirements

Required Qualifications :

Desir ed Qualifications :

Education and Clearance :

Benefits

For U.S. residents only :

Requirements

Desired Qualifications : Experience integrating AI / ML model outputs into web applications, including optimizing model-driven UI / UX elements for real-time interaction. Working knowledge of cloud services such as Microsoft Azure or AWS for deploying secure front-end / back-end systems. Familiarity with visualization tools and libraries (e.g., D3.js, Chart.js, Plotly, ggplot2) for presenting actionable insights. Experience with agile methods and DevSecOps workflows to optimize team collaboration and secure deployment practices. Familiarity with classified networks and regulations concerning authentication, access control, and cybersecurity. Capability to create intuitive visual interfaces and dashboards catering to both technical and non-technical users. Education and Clearance A Bachelor’s degree or higher from a nationally recognized / certified university in Computer Science, Software Engineering, or a related discipline OR at least four years of professional experience in full-stack development within the last six years. Active NATO or National SECRET (or higher) security clearance. Eligibility and prior experience working with security clearances to operate classified or sensitive systems.