The Company
Descartes Labs helps organizations whose success depends on the scientific analysis of observable, physical world events. We are the leading provider of geospatial analytics that create actionable intelligence by strengthening our customers’ proprietary data with models of the earth. Our solutions create new sources of environmental sustainability and operational advantage and foresight for agriculture, consumer packaged goods (CPG), mining, and government users by combining machine intelligence and domain expertise into a complete operational solution.
Descartes Labs is proud to be a remote-first, deliberately distributed organization that recognizes that people have different needs and motivations for building a life and career that matters and works for them. For this reason, we are open to our employees working from any location, in a way that enhances their well-being, productivity, and role. We focus on helping our employees produce positive outcomes and we recognize that the path to getting there will look different for different people.
The Role
As a Senior Backend Engineer, you will develop software to support advances in earth science and prediction to unlock valuable insights. You will use a strong understanding of concurrency, data modeling, and distributed computing to design, build, and maintain scalable services.
Your contributions will span many layers, from high-performance virtual file systems and cloud infrastructure, to API endpoints and pragmatic client libraries. We require creative solutions that build on the structure and foundation of our platform in order to enable our users to understand their businesses and the world in which we operate.
You belong here! If your experience and interests match with the above, we want you to apply.
We are dedicated to building a diverse community, where employees belong, even if they are different. Scientific discovery is in our DNA, and diversity fuels innovation.
Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.