You will work on applications that use deep learning and satellite data and other data sources to help companies and governments fight deforestation, monitor critical infrastructure, and respond faster and more precisely to natural disasters. Our aim is to empower any user in the world to harness the power of earth observation satellites to simplify and improve their daily work. You will join the team that turns analytics outputs into data products and makes them available across the platform and to customers. We already have deep geospatial and data engineering expertise in the team; what we need is a strong generalist software engineer who makes our core services and pipelines more reliable, observable and scalable. Concrete topics you would work on are, for example, the performance and scalability of backend services serving large volumes of geospatial data, the health and observability of our end-to-end processing pipeline, and the stability of the interfaces between the services that make it up. We are a team of five engineers and three geospatial analysts today, embedded in a cross-functional group of product managers, UX/UI designers, data, devops, ML, and geospatial engineering experts. You will not be the only person responsible for any system you touch, but you will play a crucial role in how we evolve our services and components.
Must have:
You do not need all of the 'nice to haves,' and you do not need to match every 'must have' perfectly.
Engineering at LiveEO isn't as diverse as we want it to be, and we'd rather change that than just talk about it.
Veröffentlichungsdatum:
24 Okt 2026Standort:
BerlinTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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