Python Engineer

Are you looking to work on world-leading machine learning technology? Would you like to make a positive impact on the planet while you are at it?

The innovative global agri tech company Deep Planet has an exciting opportunity for a self-motivated Python Engineer to join our technology team. We are a rapidly growing company in the field of sustainable agriculture and are looking for an experienced engineer.

Key Responsibilities

  • Utilize the latest technologies to help build our satellite imagery data processing and analytics platform

  • Work with the technology team, including front-end developers and ML researchers to build robust and reliable platform

  • Help build integrations with external 3rd party API data services

  • Advise and mentor colleagues on best practices to employ when writing code for our environments

  • Develop clean, reusable code and proficient at design planning and documentation

What You Need To Succeed

  • 5+ years of commercial professional experience working as a Python Engineer or related role

  • A fast learner with an ability to pick up new skills at a startup

  • Excellent communication skills, ability to prioritise and deliver with agile practices

  • Experience building web backends in Python

  • Experience with AWS services, such as Cognito, RDS, DynamoDB, EC2, etc

  • Experience with build and CI tools such as Webpack, Serverless, Gitlab CI, BitBucket CI etc

  • Knowledge and practical experience with testing methodologies including unit and integration testing

  • Proficiency in at least one other programming language

Ideal Background

  • Experience with one or more python web frameworks such as Flask

  • Experience with databases and ORMs, including SQL, No-SQL, in-memory data stores

  • Experience with containerization technologies (Docker)

  • BSc or MSc in Computer Science, Engineering or relevant field

  • Personal demonstrable interest in environmental impact and sustainability

  • Interest/willingness to learn Machine Learning

Benefits

  • Competitive compensation, equity

  • Remote/flexible working

  • Visa sponsorship/relocation support

The role is based in Oxford UK or remote.

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