RESPONSIBILITIES
- Design, develop, and maintain scalable backend services for geospatial data processing and visualization, utilizing Python, Django, and modern cloud technologies (40% of time)
- Implement and maintain CI/CD pipelines, write comprehensive test suites using frameworks such as Pytest, and ensure code quality through Test-Driven Development practices (20% of time)
- Collaborate with cross-functional teams to integrate various mapping technologies and optimize data processing workflows using tools like Geoserver and GeoNode (20% of time)
- Participate in code reviews and discussions on best practices for geospatial application development (10% of time)
- Research and evaluate new technologies and methodologies to improve the platform's performance and capabilities (10% of time)
MINIMUM QUALIFICATIONS
- 3+ years of professional software engineering experience
- Experience in modern programming languages in the backend, such as Rust, Go, or Python
- Experience in planning and applying new engineering practices to improve an engineering team's efficiency and quality of work
- Experience with cloud infrastructure such as AWS and managing the infrastructure with IaC like Terraform.
- Basic security knowledge includes authentication, encryption, and network security protocols
- Bachelor's degree or equivalent industry experience in Computer Science or related fields
- Working proficiency in English
PREFERRED QUALIFICATIONS
- Experience in the geospatial or mapping domain
- Experience building commercial-grade web services such as AWS, GCP, or Azure
- Japanese language skills
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