Job Purpose/Summary

Work with our team of engineers, scientists and human factors professionals to develop visualization and data capabilities for applications in cybersecurity, space, and telecommunications. This individual contributor role will involve hands-on work developing user interfaces and backend data storage and processing capabilities for AI applications. Development will include geospatial data handling and visualization, handling data inputs/outputs of machine learning models, and pub/sub streaming applications. We are a small, independent team within a small to medium-sized company, with most work happening autonomously within the team.

Duties and Responsibilities

• Develop backend capabilities (e.g., API routes, pub/sub subscribers, database/blob storage integrations) to handle, process and store streaming and request-based data
• Develop interactive geospatial data visualizations (Cesium/Resium, React, ArcGIS).
• Develop frontend capabilities to receive data from users, perform basic summary and visualization, and allow basic editing of data.
• Write well-tested code, including CI/CD-driven unit and integration testing.
• Participate in code reviews.
• Support requirement definition and documentations.
• Support development of CI/CD infrastructure.
• Occasionally capture screenshots and recordings of developed capabilities for demonstration.
• Occasionally work with design and human factors coworkers to mock data visualization capabilities using a variety of tools (e.g., Grafana, Figma) using real data, and support translating these mocks into code/applications.

Qualifications

Minimum:

• Formal education in computer science or quantitative field, or mix of education and relevant experience
• 1 years’ experience working with geospatial data visualization (e.g., ArcGIS, Google Maps integrations, Cesium, d3.js mapping, Leaflet)
• 3 years’ experience with modern frameworks for front end development (e.g., React, Angular, Vue) and packaging (e.g., Vite, webpack)
• 1 years’ experience with Postgres
• Real-world experience with pub/sub data streaming such as Kafka, or queue-based systems such as SQS.

Preferred:

• Experience working with data scientists or other non-engineer technical collaborators (e.g., physics, biologist)
• Experience with geospatial data storage (flat files including KML and , database extensions for geospatial data), tileservers (e.g., geoTIFF, OGC 3D Tiles)
• Experience with cybersecurity, telecommunications, hardware prototyping, or space operations.

Working conditions

n/a

Physical requirements

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Direct reports

n/a