PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design, engineering, and systems control.
We help our customers fundamentally improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time – including Renewables & Sustainability, Space, Aerospace, Medical Devices, Additive Manufacturing and Energy. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, or increasing the performance of wind turbines.
We are a rapidly growing company but prefer to fly under the radar to protect our customers’ confidentiality. We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic cloud engineer to join our team. If all of this sounds exciting to you, we would love to talk (even if you don't tick all the boxes).
The Role
We're expanding our cloud engineering capabilities within PhysicsX, and you'll be joining as our second cloud engineer. Cloud engineering supports all areas of PhysicsX, with a main focus on building out and maintaining our cloud infrastructure for our product offering, alongside helping other parts of the company with cloud usage. As a key member of the team, you will be one of two go-to people for building, maintaining, and advising on our cloud strategy and cloud engineering practices to support the company.
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.