Cosuno ensures efficient and transparent collaboration between all parties involved in the construction industry from planning to payment. Customers benefit from involving subcontractors in planning at an early stage, finding the right prices on a data-driven basis, and being able to pay more quickly via the software. The benefits and savings for both sides are immense: by using Cosuno’s cloud solution instead of email, phone, and Excel spreadsheets, the time saved amounts to about 60% and the profit margin is 18% higher on average. The customers use the largest European subcontractor network for this purpose and benefit from the specially developed AI, which ensures significantly better capacity utilization.
Cosuno is growing fast: since its market launch, the software has already processed a $4 billion construction volume. The new capital will flow into the development of further features and international expansion, beginning first in Europe.
Technology at Cosuno
At Cosuno, we use React in the frontend and Node.js in the backend. Our entire codebase is written in TypeScript. Our API is based on GraphQL and we use Prisma for communicating with the database. We use relational databases as well as Elasticsearch. We write comprehensive end-to-end tests using Cypress in addition to unit tests. Our infrastructure is based on AWS and Kubernetes. For monitoring, we use tools like Datadog and Sentry. We have a well-functioning CI/CD pipeline and deploy to production multiple times a week.
Tasks
As a full stack developer, you will work on the frontend as well as the backend side of our product and therefore will take full ownership over the features you are creating. After you develop a comprehensive understanding of the components of our product, you are given full responsibility to extend them and build on them in ways that makes our product more valuable, more reliable and better structured to ensure future maintainability.
Specifically, we have a frontend based on React and a backend written in Node.js. They interface with each other using GraphQL and Apollo. We utilize TypeScript for the entire codebase to improve code quality and reliability. We use relational databases as well as Elasticsearch. We write comprehensive end-to-end tests using Cypress in addition to unit tests. Our infrastructure is based on AWS and Kubernetes. We have a well-functioning CI/CD pipeline and deploy to production multiple times a day.
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