Founding Full Stack Developer

Emploi pas sur LinkedIn

🕒 il y a 11 mois

🗣️🇺🇸🇬🇧 Anglais requis

Cloud

Remote Sensing

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Recruitsy

1 - 10 employés

Fondée en 2017

🤝 B2B

🎯 Recrutement

🏪 Place de marché

B2B • Recruitment • Marketplace

Recruitsy est votre domaine privilégié pour des solutions de recrutement de pointe visant à attirer les meilleurs talents. Avec un nom de domaine haut de gamme et un fort accent sur la satisfaction client, Recruitsy offre aux acheteurs potentiels l'opportunité de rehausser leur marque dans l'industrie du recrutement. La plateforme simplifie le processus d'achat de domaines, garantissant une transaction sécurisée et une expérience de transfert fluide.

Description

• Our San Francisco client is on a mission to combat climate change, improve food security, and alleviate poverty by building a global measurement, reporting, and verification (MRV) platform for high-integrity carbon removal and storage. • With groundbreaking technological innovation using ground truth sampling, remote sensing, and AI modeling, they are accurately and scalably measuring soil carbon to incentivize the adoption of sustainable practices. • Our client is seeking a proactive and collaborative self-starter with at least 5 years of experience building and owning a complete end-to-end technology stack to join their interdisciplinary team. • While experience in climate/agriculture is a plus, a passion for climate is a must! • Submit Your Application • You have successfully applied • You have errors in applying • Apply With Resume • Or Autofill with LinkedIn

🎯 Exigences

• 5-10 years of relevant professional experience after college • Experience shipping and building products from 0 to 1 • Worked as an early employee in a technical role at a startup and has some leadership experience managing technical teams • Experience as an early employee at top-tier startups and open-source work • Passion for climate change and strong moral responsibility to act • Multidisciplinary team work experience, preferably in software and healthcare • Understanding of how to support machine learning and remote sensing workflows

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