NASA Ames Research Center’s Aviation Systems Division (Code AF) has developed specialized tools for airspace management, simulation, and data systems. These tools—Federated Airspace Management Framework (Freddie), National Airspace Digital Twin (NDT), and Sherlock data warehouse—are being upgraded for enhanced accessibility, AI/ML integration, and edge deployment. The Code AF Software Facility team is seeking experienced Python application developers to help refactor these tools, integrate them with visualization and AI/ML platforms, and support deployments in projects such as Advanced Air Mobility Pathfinders (AAMP) and Air Traffic Management/Safety (ATMS). Join our team as we build the technologies that will help drive modernization of the National Air Space.

Required Skills and Experience

Bachelor’s Degree or higher in Computer Science or related engineering disciplines
3-5 years of experience (including relevant college projects) developing advanced applications in Python (3.x) and related frameworks in an Agile environment
Experience with microservices, REST APIs, and asynchronous programming
Familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS)
Experience with Continuous Integration/Deployment (CI/CD) pipelines, deployment automation, and cloud environments (AWS, Azure, GCP)
Passion for quality and writing clean, solid, readable code that scales and performs well
Proven interpersonal communication skills and the ability to collaborate with other developers to commit, test, and review code in GitHub
Deep understanding of software quality assurance, automated testing, and documentation practices

Other Desired Skills

Experience in data engineering and AI/ML integration
Working knowledge of the Atlassian toolset (JIRA, Confluence)
Familiarity with aviation and/or air traffic management concepts

EEOE Including Vets and Disability

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Application Engineer - Python