The Company
Cibo Labs offers robust, user-friendly online platforms and mobile apps that harness satellite technologies to map and monitor pastures and permanent farm vegetation in near-real-time. These tools enable producers and agricultural supply chain stakeholders to make informed land management and business decisions.
Designed with a "producer-first" philosophy, our solutions integrate across paddocks, farms and on a national scale empowering producers to access and control their data while unlocking value for the broader agricultural industry and economy.
At Cibo Labs we believe livestock producers are the true change-makers. By understanding and managing their land, they drive sustainable stewardship and create meaningful impact for Australia's families, business, communities, economies and landscapes.
Using world-leading agricultural data science, we aim to empower producers and transform how the world adapts and manages land, livestock and resources. Our purpose is to foster connected agricultural ecosystems where technology and data enable informed decisions, enhance productivity and protect natural ecosystems for future generations.
The Role
As a Geospatial Software Engineer, you will be the engine room behind our national-scale analysis. You will architect, build, and optimize the high-performance processing pipelines that turn petabytes of satellite imagery into actionable pasture insights for Australian farmers.
This is a hands-on backend engineering role heavily focused on scalability. You will move beyond simple desktop GIS scripting to build robust, cloud-native systems using AWS Batch, Python, and PostGIS. You will work closely with our Remote Sensing Scientists to translate complex algorithms into production-ready code that runs efficiently at scale.
We are looking for someone who understands the nuances of geospatial data (projections, raster/vector interactions) but applies rigorous software engineering practices to solve them.
SKILLS & EXPERIENCE
The "Must Haves" (Technical Stack)
* Advanced Python: You are not just scripting; you build robust, well-constructed applications. You know your way around pytest, type hinting, and packaging.
* API Design & Contract Definition: You understand the importance of reliable, stable, and well-documented APIs. You are proficient in defining strict API contracts (e.g., OpenAPI/Swagger) and JSON schemas to ensure frontend teams have clear specifications to build against, preventing integration bottlenecks.Core Geospatial Libraries: Deep experience with GDAL/OGR bindings. You understand affine transforms, CRS conversions, and raster algebra.
* Knowledge of STAC (SpatioTemporal Asset Catalogue) and Cloud Optimised GeoTIFFs (COG).
* AWS Compute & Batch: Proven experience running heavy workloads on AWS, specifically using AWS Batch, ECS, or Lambda. You understand how to dynamically scale compute resources and understand the importance of cost optimisation
* Database: Strong proficiency in SQL and PostgreSQL/PostGIS. You can write complex spatial joins and index strategies.
* Containerisation: Comfortable writing Dockerfiles and managing container registries.
* Data management: experience working with large data archives and object data stores like AWS S3, designing and adhering to data management frameworks and policies
See the full Position Description for more information on the role here
Before applying for the role please ensure you address all the "Must Have" skills and experience in your cover letter, job applications that do not address this will not be assessed.
Contact us for more information about the role