Development Seed

We’re hiring a Cloud Engineer (EU/UK)

Help build open-source, cloud-native geospatial + AI tools with partners like ESA, NASA & ECMWF.

Remote-first from an ESA member state or join us in Lisbon.
https://grnh.se/om1deced3us

#hiring #jobs #geospatial #europe

See you at @foss4gna@fosstodon.org in Reston next week!

We’re sharing:
• eoAPI for humanitarian maps
• stac-geoparquet + stac-map
• VirtualiZarr
• an eoAPI workshop (still time to sign up!)

👋 Grab a zine and say hi
https://developmentseed.org/blog/2025-10-28-see-you-at-foss4g-2025/

We built stac-map, a lightweight, map-first prototype for exploring STAC GeoParquet in your browser. Built w/ DuckDB, geoarrow, & semantic STAC search, explore STAC GeoParquet files directly in the browser.

Try it: https://developmentseed.org/stac-map/

Blog: https://developmentseed.org/blog/

Moving terabytes of cloud data in Python was too slow & messy—so we built Obstore.

⚡ Fast & stateless
☁️ Works with S3, GCS, & Azure
🐍 Rust-backed, no dependencies

It’s already powering cloud-native geospatial tools.
Read the blog: ds.io/obstore-blog
@kylebarron@mapstodon.space

#python #cloudnative #geospatial #rust

📢 We’re hiring and looking for a Geospatial & AI Engineer. This is a remote-first position; however, you must reside in an ESA member country to be eligible to apply.

This role focuses on backend engineering & cloud-native pipelines. AI/LLM skills are a plus, but not a must.
https://grnh.se/891gnywa3us

We’re hiring a senior-level Frontend Engineer!

This role is about building tools that help people use Earth data to tackle real-world problems — from climate and conservation to disaster response and open science.

You’ll work with orgs like NASA and The Nature Conservancy, alongside a team that cares deeply about clarity, collaboration, and long-term impact.

Remote, open-source, and meaningful.
Details + apply: https://grnh.se/8gpicnip3us

#opensource #jobs #hiring #frontend

🧠 𝗘𝘃𝗲𝗿 𝘄𝗼𝗻𝗱𝗲𝗿𝗲𝗱 𝘄𝗵𝗮𝘁 𝗶𝘁 𝘁𝗮𝗸𝗲𝘀 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝗼𝘄𝗻 𝗟𝗟𝗠 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁?

Here’s a peek under the hood of Moscatel — our internal experiment in building a retrieval-augmented generation (RAG) system from scratch to support our knowledge management.

🔗 Read the full breakdown: ds.io/moscatel

Our team is excited to lead an Earth Foundation Models tutorial workshop at IEEE Geoscience and Remote Sensing Society (GRSS) Symposium in Brisbane, Australia.

🔗 For more details and registration: https://2025.ieeeigarss.org/tutorials.php#tut4

@weiji14@mastodon.nz

🚀 We made a zine!
"𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗶𝗻𝗴 𝗚𝗲𝗼𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝗗𝗮𝘁𝗮 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗖𝗹𝗼𝘂𝗱: 𝗔 𝗭𝗶𝗻𝗲 𝗘𝘅𝗽𝗹𝗼𝗿𝗶𝗻𝗴 𝗖𝗼𝗺𝗺𝗼𝗻 𝗙𝗼𝗿𝗺𝗮𝘁𝘀" is our answer to the notion that Big Ideas are best shared through accessible, creative, and impactful formats.
🔗 https://developmentseed.org/blog/2025-02-17-cloud-data-zine/
by @kiricarini@mstdn.social & @gus@vis.social