Full-Stack Geospatial Data Engineer

Summary

Join Cyclops, an AI-powered platform revolutionizing natural capital measurement, and become a hands-on engineer responsible for the full-stack development of our platform. You will design and implement systems for ingesting satellite imagery, processing data, and creating user-friendly dashboards. Your work will directly contribute to climate finance initiatives by processing petabytes of data to track carbon stocks and land use change. This role offers the opportunity to work with cutting-edge technology, collaborate with leading academics, and contribute to a mission-driven organization. You will also have the chance to lead and mentor other engineers, shaping the future of the company's technical direction. The position requires a strong understanding of full-stack development, data infrastructure, and geospatial technologies.

Requirements

• Fluency across the stack: Typescript, React/Next.js, Node.js and Python for data/ML work
• Data-infrastructure chops: Dask/DuckDB; S3 & object-store patterns; Data pipelining with Apache Airflow, columnar formats (Parquet, Arrow) and chunked stores (Zarr, Cloud-Optimized GeoTIFF)
• GIS / remote-sensing know-how: Google Earth Engine, QGIS, Rasterio, GDAL, PROJ, xarray, GeoPandas, STAC, EO tiling schemes, basic radiometric corrections
• Data Visualization skills: D3/Charts.js, Mapbox/Leaflet
• Cloud & DevOps skills: Bare Metal/Linux, Docker, IaC, observability (Prometheus/Grafana, OpenTelemetry)
• Systems thinking: Comfortable reasoning about distributed systems, eventual consistency, and data-versioning at petabyte-plus scale
• Bias for action & ambiguity tolerance: You turn half-written Notion docs into shipped features without hand-holding
• Mission-driven: You want your work to fight climate change

Responsibilities

• Architect end-to-end systems
• Design satellite-image processing pipelines (GEE → xarray → Parquet/Zarr/IPFS) and the microservices that expose results via GraphQL/REST
• Ship product features
• Build dashboards in Next.js/React and geospatial APIs in Node/Python/FastAPI that climate-finance customers love
• Scale & harden
• Automate everything with IaC (Terraform/Pulumi), CI/CD, and robust monitoring. Profile memory & I/O to keep petabyte workflows affordable
• Prototype & iterate
• Turn vague carbon-methodology specs into data models, algorithms, and user-facing tools
• Lead & mentor
• Establish engineering best practices, run code reviews, and recruit the next generation of Cyclops engineers

Preferred Qualifications

• Experience leading a small team or owning a large production system
• Familiarity with IPFS/IPLD, content addressable storage, or on-chain data proofs
• Solidity / Foundry / Hardhat exposure (we bridge geospatial data to smart contracts)
• GPU accelerated image processing (cuDF, RAPIDS, TorchGeo)
• Machine Learning knowledge and MLOps (PyTorch/TensorFlow)
• Experience with carbon/MRV methodologies or environmental science

Benefits

• Competitive salary + meaningful equity
• Remote-first, async-friendly culture with team members and hubs in Europe and USA
• Stipend for hardware, conferences, and learning
• The chance to write the playbook for geospatial data in decentralized climate finance