Summary
Build scalable cloud backend services and workflow systems that move geospatial data from ML-generated raw output to high-quality final datasets.
You’ll work with Product and global Engineering teams across the full software lifecycle, from design to production support.
Must-have
- 8-10+ years of professional software development
- Strong Go, Python, and/or JavaScript
- Backend APIs and workflow-driven systems
- Scalable, cloud-based distributed systems
- Docker, Kubernetes, or similar container orchestration
- CI/CD and cloud deployments
- Debugging and performance optimization
- Production-grade, enterprise-scale delivery
- Agile development environments
- Strong verbal communication with technical and non-technical audiences
- Ability to work independently with minimal supervision
Preferred
- Geospatial data processing and visualization
- Workflow orchestration or job processing systems
- High-throughput, high-concurrency service architectures
- AI-assisted and agentic coding tools
- Graphical editing or CAD-style 2D drawing tools
- Browser rendering (Canvas, WebGL)
Leadership
- Mentoring junior engineers
- Leading non-functional improvements (scalability, reliability, observability)
- Collaborating across global engineering and product teams
- Working within governed Enterprise Agile frameworks
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
IT
Seniority Level:
Senior