Application Engineer - Python

Metis Technology Solutions Inc• Moffett Field, CA, US, CA
•$100,000 - $160,000

About The Position

NASA Ames Research Center’s Aviation Systems Division (Code AF) has developed specialized tools for airspace management, simulation, and data systems, including the Federated Airspace Management Framework (Freddie), National Airspace Digital Twin (NDT), and Sherlock data warehouse. These tools are being upgraded to improve accessibility, integrate AI/ML, and support edge deployment. The Code AF Software Facility team is seeking experienced Python application developers to refactor these tools, integrate them with visualization and AI/ML platforms, and support deployments for projects such as Advanced Air Mobility Pathfinders (AAMP) and Air Traffic Management/Safety (ATMS). The team is building technologies to help modernize the National Air Space. Applicants must be U.S. citizens.

Requirements

  • 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 tools such as Docker and Kubernetes and cloud platforms such as AWS.
  • Experience with CI/CD pipelines, deployment automation, and cloud environments such as AWS, Azure, or GCP.
  • Commitment to writing clean, readable, scalable, and performant code.
  • Interpersonal communication skills and ability to collaborate with developers using GitHub for code commits, testing, and reviews.
  • Deep understanding of software quality assurance, automated testing, and documentation practices.
  • Must be a U.S. citizen.

Nice To Haves

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

Responsibilities

  • Refactor specialized airspace management, simulation, and data system tools.
  • Integrate tools with visualization and AI/ML platforms.
  • Support deployments for projects such as Advanced Air Mobility Pathfinders (AAMP) and Air Traffic Management/Safety (ATMS).
  • Develop Python applications and collaborate with developers to commit, test, and review code in GitHub.
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