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Develop and deploy scalable, resilient, containerized cloud-native applications on AWS. Manage cleared C2S and GovCloud infrastructure, maintain DevOps practices, support CI/CD, create reusable CloudFormation templates, and develop compatible infrastructure across cleared and uncleared environments. The role requires an active Top Secret/SCI clearance and U.S. citizenship, with Kubernetes and backend software engineering experience preferred.

Develop and maintain responsive front-end web applications for a defense and intelligence training data platform. Translate UI/UX designs into user-facing components, integrate interfaces with backend services through RESTful APIs or GraphQL, optimize performance, implement secure communications, manage code with Git, and create unit, integration, and end-to-end tests. Collaborate with designers, engineers, Agile teams, and end users throughout the software development lifecycle.

Develop scalable AI-enabled software integrating machine learning models, APIs, data pipelines, retrieval systems, and agentic workflows. Build backend services and cloud-native applications using Python, AWS, Docker, and Kubernetes. Operationalize machine learning capabilities, improve system performance and reliability, and support model inference and information retrieval in mission environments. Collaborate with engineers and researchers while following software development, testing, and quality practices.

Software Engineering Interns will work in an Agile development environment using Python, React, Docker, and Git. They will build solutions for web development, machine learning, and signal processing; collaborate with technical experts; design features; prioritize work; and mitigate risks while supporting defense and intelligence projects.