
Geospatial Software Development Specialist
1 week ago
We are seeking a highly skilled Geospatial Software Development Specialist to join our team.
This role will provide the opportunity to work on cutting-edge geospatial applications, collaborating with a multidisciplinary team of engineers and scientists to develop innovative solutions for the Earth Observation sector.
The ideal candidate will have extensive experience in developing and maintaining non-trivial geospatial applications, with a strong background in programming languages such as Python or C++ and familiarity with geospatial libraries like GDAL.
Key Responsibilities- Design and implement geospatial algorithms and data structures to improve application performance and scalability,
- Develop and maintain software tools and services to support satellite operations and data management,
- Collaborate with partners and clients to integrate platform tools into their environments and workflows,
- Analyze and troubleshoot issues related to spatial data acquisition, processing, and visualization.
- Bachelor's degree in Computer Science, Geoinformatics, or a related field,
- 6+ years of experience in software development, with a focus on geospatial applications,
- Proficiency in at least one programming language (e.g., Python, C++, Java),
- Familiarity with geospatial libraries and frameworks (e.g., GDAL, OGR, PROJ).
- Master's degree in Computer Science or a related field,
- Experience with cloud-based computing platforms (e.g., AWS, Azure) and containerization (e.g., Docker),
- Familiarity with agile software development methodologies (e.g., Scrum, Kanban).
We are a fast-growing space technology startup building software infrastructure for the Earth Observation sector. Our team is passionate about creating new commercial opportunities in the quickly evolving commercial space industry.
We work with a range of international space agencies and commercial satellite operators to provide innovative solutions for tasks such as constellation management and optimization, spatial data management and internal cataloguing, and derivation and analysis for agricultural and bushfire monitoring, insurance assessment, and journalism.
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