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Develop and support full-stack web applications for mission needs at Wright-Patterson Air Force Base. The role involves refining requirements with end users, building search and data visualization features, integrating RESTful APIs, and developing server-side logic with Python. Required technologies include React, JavaScript, TypeScript, HTML, CSS, Git, and Python. The position is primarily based at company headquarters with occasional travel to the base and requires U.S. citizenship plus the ability to obtain TS/SCI clearance.

Develop and maintain full-stack web applications supporting intelligence and mission needs. Gather requirements from end users, build search and data visualization capabilities, develop React and Python-based APIs, manage relational databases, and deploy containerized applications. The role requires strong UI/UX skills, Git-based configuration management, collaboration, and independent problem-solving. Work is primarily at the Beavercreek headquarters with occasional visits to Wright-Patterson Air Force Base.

Develop and optimize physics modeling and simulation algorithms using Python to analyze sensor data. Apply expertise in aerodynamics and aerothermal simulations across supersonic and hypersonic vehicle regimes, while following software engineering and configuration-management practices. Support defense customers at Wright-Patterson Air Force Base and collaborate with a small engineering team. Experience with modular software, containerization, databases, Git workflows, and algorithm deployment is valued.

Supports cloud and on-premises infrastructure, user provisioning, help desk tasks, scripting, automation, observability, documentation, vulnerability scanning, patch management, and incident response. The intern works with AWS, GCP, Azure, Linux, monitoring tools, and infrastructure-as-code technologies under the mentorship of senior engineers and DevOps leads.

Develop automation, improve cluster reliability, and enhance workload deployment in multi-tenant Kubernetes environments. Maintain platform components, contribute to tooling, and assist with monitoring, troubleshooting, and cluster operations. Gain hands-on experience across the product engineering lifecycle, including requirements definition, implementation, infrastructure-as-code, GitOps, observability, container orchestration, and cloud infrastructure.

Design, build, and operate scalable ingestion, curation, and metadata-enrichment pipelines for enterprise data catalog and discovery. Ensure data quality, schema evolution, lineage, and cost-efficient large-scale processing; translate technical concepts for non-technical stakeholders and support downstream mission use.

Develop, adapt, and evaluate EO/IR object-detection and separation algorithms; acquire and prepare sensor data; implement reproducible research software in Python; quantify algorithm performance; and transition prototypes for operational use while collaborating with a small multidisciplinary team.

Adapt, integrate, test, and transition a Python-based prototype for detecting closely spaced objects in EO/IR imagery. Connect the prototype to operational message types and systems, harden it for reliability and maintainability, develop automated tests, design clear interfaces, and deploy first in a testbed and ultimately in an operational Kubernetes environment while collaborating with a small multidisciplinary team.

The Senior AI/ML Engineer will develop and enhance AI/ML models using Python, specializing in OPIR domain expertise, with a focus on object identification and classification.

Facilitate Agile ceremonies, remove impediments, coach and support Scrum teams under senior mentorship, promote continuous improvement, use metrics to improve delivery, and progressively take full team-level ownership.