Job Description

Back-End / Full Stack Engineer
This is a unique opportunity to join a mission-driven startup applying cutting-edge data engineering, satellite science, and backend development to help farmers grow more sustainably and profitably.
You'll work at the intersection of satellite imagery, backend systems, and machine-learning infrastructure, helping to build and scale a groundbreaking agricultural intelligence platform.
What you'll be doing
You will own and contribute to backend and ML infrastructure across a wide range of technical areas, including:

• Migrating our machine-learning training pipelines to AWS (currently running largely locally)
• Designing and implementing ML testing pipelines, including visualisation tools to assess model performance
• Building tooling to analyse spectral signals at specific parts of imagery, enabling better diagnosis of where and why models perform well or poorly
• Supporting atmospheric correction testing pipelines and contributing to visualisation tools used to validate results
• Integrating with new satellite imagery feeds and partnering APIs (including tractor/precision agriculture data)
• Developing and maintaining data pipelines for ML workflows and crop-growth modelling
• Enhancing geo-rectification workflows and improving performance of atmospheric correction systems
• Collaborating closely with engineering, data science, and product teams to turn insights into production-ready features
• Contributing to both R&D-heavy and commercially driven engineering initiatives

What you can bring

• Strong Python skills, including experience with data processing libraries (e.g. Numpy, Pandas).

Bonus: RasterIO or other geospatial tooling experience. * Experience with AWS and containerised environments (Docker).

• Familiarity with backend frameworks (FastAPI, Flask, or Django).
• Experience working with data pipelines, ML workflows, or MLOps-style environments.
• Ideally some experience with TypeScript for visualisation or frontend-adjacent tooling.
• Comfort navigating ambiguity, proposing improvements, and balancing short-term execution with long-term architecture.
• Strong communication skills: able to document, explain, and align with technical and non-technical stakeholders.
• Prior experience in a fast-paced or startup environment is beneficial.

What's in it for you

• A rare engineering role that bridges backend systems, satellite technology, and machine-learning infrastructure.
• The chance to build tools at the cutting edge of geospatial and spectral analysis.
• Work with a smart, ambitious team that values experimentation and delivery.
• Meaningful equity at an exciting inflection point of company growth.
• Major career growth opportunities as the company scales.
• A real chance to shape technology that impacts climate resilience, food security, and sustainable agriculture.

Diversity & Inclusion
We believe diverse teams build better products and insights. We welcome applications from individuals of all backgrounds and experiences and are committed to fostering an inclusive workplace where everyone can thrive.

Skills Required