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About the job

Are you passionate about revolutionising engineering with AI? We’re on a mission to empower engineers to use AI to solve even their most intractable physics problems. We’ve doubled in size over the last four years, and we have ambitious plans moving forward. It’s an exciting time, and to continue our growth, we are recruiting a Software Engineer focussing on Python for our Software Team.


Our Tech Stack:

Python, Flask, Redis, Postgres, React, Plotly, Docker, Athena SQL, Athena & EMR Spark, ECS, Temporal, AWS, Azure.


What you can expect as a Software Engineer:

As a Software Engineer, you’ll play a crucial role in helping to implement our application which has been carefully designed and spec’d out. You’ll work closely with our existing Software-team members who will be on hand to help unblock any issues you run into. Your primary role will be to deliver a high-standard quality of Python code in-line with best practices.


What you’ll be working on:

You’ll be working primarily on the development of our Platform. This will be a lot of new feature development as we start to roll out new, cutting-edge data science tools and models which allow engineers to model complex physical systems using AI, reducing test times by up to 70%. Given we’re a startup, we work at a fast pace where there’s always opportunity for exposure to new technologies and practices.


There’s a huge opportunity for cross-team collaboration in this role. You’ll speak with DevOps, QA, Product, Data Science regularly.


What would set you up for success coming into this role:

  • You have a minimum of five years’ experience working in Software Engineering, with at least two of these in Python.
  • You’ve had the opportunity to work on Cloud Infrastructure. Whether it be AWS, Azure or GCP.
  • You’ve had the opportunity to and enjoyed being part of a fast-paced and growing Software Engineering company.
  • The prospect of working autonomously does not faze you.
  • It’s a bonus if you have experience using workflows like Airflow or Temporal, especially in a distributed system environment.


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