Climate change is the defining challenge of our time: a once-in-a-generation test that is rapidly reshaping the world around us. Our customer is building technology to accelerate the world’s response by making green infrastructure faster to plan, less expensive to build, and easier to optimize.
This software enables domain experts and communities to plan sustainable infrastructure projects with snap-together ease and to rapidly assess their environmental and social impacts. Drawing on inspirations as varied as urban planning, game engine design, journalistic data visualization, and scientific computing, we are reimagining how the cities and communities of tomorrow will take shape.
The team comes from widely varied backgrounds, unified by a shared commitment to interdisciplinary creativity, quantitative rigor, and seamlessly engaging user experience.
As a Platform Engineer, you will be building the core modeling systems that sustainability projects around the world rely on to drive their planning.
An ideal candidate will have:
Strong experience building complex web applications with React, ideally including the use of TypeScript and a centralized state management system like Redux or MobX. An interest in performance tuning and optimization is also a plus.
The ability to jump in and make progress at all levels of the web stack. You absolutely do not? need to be an expert at everything, but you should be comfortable learning and extending beyond your core domain.
In addition to React, TypeScript, and Redux, other technologies and tools that we work with include: deck.gl, Unity, Node, Python, PostgreSQL, Mapbox, Google Cloud Platform, Storybook, and Gitlab CI/CD
For additional context, here are some other topics and technologies that relate closely to our work. If you find one or more of your interests on this list, you’ll likely enjoy the kinds of challenges that we focus on:
Next generation web technologies, including advanced 2D and 3D web graphics (Canvas, WebGL, WebGPU) and WebAssembly
Game engines (Unity, Unreal) and engine design
Simulation of complex systems, both quantitative/numerical and qualitative/graphical
Performance sensitive design, measurement, and optimization
The design of complex data pipelines and data ecosystems