Computer Vision Software Engineer, Lead The Opportunity: As a Senior Computer Vision Engineer, you will design, develop, and optimize advanced computer vision and multi‑sensor fusion algorithms supporting GEOINT‑mission workflows. You will lead the development of deep learning
Full-stack Software Engineer, Mid The Opportunity: Bring your full-stack engineering expertise to help modernize GEOINT and national security mission systems. As a mid‑level engineer, you’ll build cloud‑native microservices, develop scalable front‑end interfaces, and support the transformation of
Software Architect, Lead The Opportunity: As a Lead Software Architect, you will define and drive the end-to-end architecture for modernizing MATLAB-based algorithms into scalable Python-based applications. You will lead the design of containerized, cloud-ready systems with automated CI/CD
Python Software Engineer, Senior The Opportunity: Performs implementation, regular problem solving, maintenance and support for agile software development to modernize systems. Applies advanced theories, principles and concepts, contributes to development of new principles and concepts. Leads development of
Cloud Application Architect The Opportunity: Are you looking for an opportunity to leverage your cloud architecture expertise in a high impact role? Booz Allen has an opportunity to showcase your talents by supporting the United States
Job Summary: The EDI Technical Product Manager serves as the strategic and technical owner of CareSources EDI platform, responsible for driving the vision, roadmap, and execution of enterprise data exchange capabilities. This role combines a deep
Virtual Desktop Infrastructure (VDI) Systems Engineer Location: Dayton, OH Work Model: Fully onsite at NASIC Clearance: Active TS/SCI Overview Rackner is seeking a Virtual Desktop Infrastructure Engineer to support the VDI Engineering and Endpoint Management team.
Job Summary: The Data Solutions AI Application Developer III is responsible for designing and rapidly deploying lightweight applications and user interfaces to operationalize advanced AI solutions, including generative AI (LLM-based), agentic AI, and NLP-driven capabilities—across the