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Cloud to Street
emoji of a pushpinAustin, TX preferred; remote work possibleemoji of a money bag$90,000 - $130,000emoji of a clockMon Nov 29 1920
emoji of a woman of coloremoji of a man8 total on the teamemoji of a woman of coloremoji of a woman 3 women in techemoji of a woman of coloremoji of a person of color 2 people of color in tech

Cloud to Street is the leading flood mapping platform designed to protect the world’s most climate-vulnerable communities. By harnessing global satellites, advanced science, and community intelligence, we monitor worldwide floods in near real-time and remotely analyze local flood exposure at a click of a button. Our mission is to ensure that all vulnerable governments finally access the high quality information they need to prepare for and respond to increasing catastrophes. Founded by two women at Yale and seeded by Google, Cloud to Street is being or has been used by governments and NGOs across 15 countries. We are on track to enable new flood protection and insurance for 10 million people in the next 5 years.

We are looking for a full stack developer to build tools that enable scientific analysis and support decision makers around the world. You should apply if you are eager to use engineering to reduce the impact of catastrophic flooding and build an innovative and sustainable organization. In this role, you will develop cloud infrastructure to help process satellite data and deploy machine learning algorithms in near real-time. You will also build web and mobile tools to support decision makers with up-to-date information during disasters. You will work with a team of scientists and engineers with expertise in remote sensing (optical, radar, and passive microwave), hydrology, climate, social vulnerability, UX, and machine learning to i) optimize and improve Cloud to Street’s current flood mapping system and ii) build the next generation of tools to ensure financial protection from floods in marginalized communities.

Primary Responsibilities

  • Design and implement scalable database infrastructures for geospatial analysis

  • Build innovative features into our flood monitoring dashboards for disaster management

  • Contribute to the design and development of an insurance platform to enable access to disaster insurance for users around the world

  • Collaborate with a team of exceptional scientists and engineers that want you to grow and be successful

  • Help build a growing engineering and technology team

  • You tell us! Each member has skills not in their job description that are important for our growth. We would love to hear your unique talents and learn how we can help each other grow.

Characteristics of a Successful Candidate

  • Bachelor’s or Master’s in computer science or a related field or equivalent experience

  • At least 2 years of experience in full stack development

  • Experience building scalable cloud-based data platforms

  • Excited to have an influential role in a quickly growing team

  • Self-starter with ability to work within a fast-paced and rapidly evolving startup

  • Eagerness to learn new skills and help with the task at hand

  • The ability to solve challenging problems without explicit direction

  • Prioritizes justice, diversity, science, and solidarity with vulnerable communities

Useful Experience

  • Working with geospatial data

  • Python, TypeScript, JavaScript, Angular

  • Implementing ML algorithms in production environments

  • Google Cloud Platform

  • Working with a geographically distributed team

As a Cloud to Street team member, you:

  • Lead development of cutting-edge technology at a start-up company focused on social impact and represent our organization at scientific and development meetings

  • Serve the underserved by reducing the scientific barriers for low and middle income countries to access the information governments, businesses, and communities need to sustainably develop and thrive

  • Are in solidarity with vulnerable communities by spending time with flood affected populations and organizations who serve them

  • Increase equity by making information accessible to historically marginalized communities and building a diverse and inclusive start-up

What is your Interview process like?

The first phase of the interview process will be a take home test tailored to the specifications of the job. This will be followed by several interviews with different key team members.

What efforts are you making in terms of increasing diversity & inclusion within your company?

At Cloud to Street, our core values are solidarity with the vulnerable, rigorous science, service to the underserved, and equity. We are working to address inequities not just in flood information access and response. Diversity is not some checkbox, but part and parcel of how we build a better product that will serve marginalized communities, with a team that comes from a diversity of life experiences and backgrounds. We believe it is essential to addressing inequity, not just in tech but in climate change, which disproportionately impacts people of color and minoritized groups.

Furthermore, we value transparency; we operate with open lines of communication across teams about all of our processes and company culture.

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When you apply, please mention that you found the posting on Diversify Tech!

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