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A virtual assistance firm is seeking a skilled engineer to join their team in London, UK. The role involves building formative features and interfaces for a simulation platform that aids in decision-making. Ideal candidates will have over 3 years of experience in interactive data visualization and a strong focus on quality. The position offers typical compensation of £50k-£60k with additional equity options. The company supports fully remote work with a preference for candidates within 2 hours of the UK timezone.
Here at Silico we are empowering leaders to make the best decisions by creating a platform for simulating possible futures and selecting for the best outcome. We are proud of the impact our technology is already having on critical decision-making. Here are just a few examples from current customers:
We are building the organisational brain for some of the world's largest companies, which means interfacing with analysts and data scientists as well as the C-suite. It's a huge task, which is why we're looking for problem solvers who aren't afraid to venture into the unknown.
You’ll be joining a small team early on in our journey, which means opportunities for rapid professional development, as well as the chance to shape our product and culture.
As one of our first engineers, you'll be responsible for building out the formative features and interfaces of Silico. You'll get to work on interesting problems, providing rich user interfaces for interactive simulation and data visualisation.
Our backend is built with Rust (using warp/diesel) andHasura for GraphQL, backed by PostgreSQL. We're working towardspolyglot backend services, to also enable developing e.g. TypeScript, Go and [favourite language] services.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.