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$180,000 – $250,000
Listed on Voyager’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the development of large-scale software systems for processing and analyzing geospatial data, particularly Synthetic Aperture Radar imagery, supporting U.S. government defense and security missions. It suits experienced software architects who can bridge complex algorithm research with production systems and are comfortable working in highly regulated, security-focused environments.
Our summary, not Voyager’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Apache Airflow
- C++
- Docker
- Kubernetes
- Linux
- Model Context Protocol
- PostGIS
- Python
- QGIS
Log in to see which of these are already on your profile.
What they ask for
Required
- BS in Computer Science, Computer Engineering, or related technical field with 5+ years of professional software development experience, OR MS in Computer Science, Computer Engineering, or related technical field with 3+ years of professional software development experience
- Ability to obtain and maintain Top Secret/SCI security clearance
- Production-level code writing in multiple languages without review
- Lead software development teams through full software development lifecycle
- Academic background or foundational training in physics
- Deep expertise developing software in Linux environments
- Independent track record architecting and integrating large-scale software solutions
- Advanced modern software development practices including version control and debugging tools
- Exceptional teamwork, organizational, and communication skills
- U.S. Person status (U.S. Citizen, lawful permanent resident, or protected individual)
Nice to have
- Active Top Secret/SCI clearance
- Advanced degree (MS or PhD) in Computer Science, Computer Engineering, Mathematics, Physics, or related field
- Experience developing software for geospatial data processing or remote sensing systems
- Experience designing complex database architectures for geospatial or large-scale datasets
- Experience architecting highly scalable systems including distributed systems and microservices
- Experience building geospatial services and APIs with standards like WMS/WFS
- Experience developing or integrating agentic AI frameworks for geospatial workflows
- Familiarity with Model Context Protocol (MCP)
- Extensive containerization and orchestration experience with Docker and Kubernetes
- Experience deploying applications in cloud environments like AWS
- Familiarity with geospatial analysis and visualization tools like QGIS
- Experience with workflow orchestration tools like Apache Airflow