The role

You'll own the systems that get plant data into alcemy.

That data comes from external partners, and it arrives messy. You'll build and own the APIs and services that take it in, make sense of it, and feed the machine-learning models behind our recommendations - designing those systems, deploying them, keeping them running, and diagnosing what went wrong when something upstream changes without warning.

It's a backend engineering role with a data problem at the centre of it, and it's refreshingly hands-on with customers: you'll dig into real-world data, explain what you find to non-technical people, and make getting data into alcemy dramatically easier.

What you need is solid production Python, the ability to run what you build, and comfort talking to the people on the other end of the pipe.

What You'll Do

• Own the data ingestion systems that bring messy plant data from external partners into something our ML can use
• Build and improve our ingestion APIs, moving us from strict, structured data requirements toward flexible, AI-powered ingestion — so customers onboard with far less friction
• Deploy, monitor and troubleshoot your systems in production, diagnosing and fixing issues when something upstream changes without warning
• Track down data anomalies and explain your findings to customers in plain language
• Build and maintain the APIs and PostgreSQL databases behind our products, and keep production running smoothly
• Work shoulder to shoulder with external partners, customers, sales and customer success - translating between the technical and the non-technical
• Collaborate with the product team on backend work