Leaf is a tech company that provides end-to-end performance marketing services for ambitious eCommerce businesses.
Unlike traditional marketing agencies, Leaf is an eCommerce performance marketing specialist that combines years of data-driven marketing expertise with proprietary marketing technology. This enables us to make smarter decisions in order to deliver profitable sales growth for our clients.


Leaf.fm

The role 
You will own the platform that Signal and Connect run on. Today that means a Kubernetes cluster onDigitalOcean with managed Postgres and Redis, an edge layer on Cloudflare, deploys through GitHubActions and Helm, and observability on Grafana and Loki. Tomorrow it means three data-residencyzones: the existing DigitalOcean UK zone plus two greenfield Azure zones (EU and US), all managedfrom one Terraform codebase so a single config change fans out to every zone. 
The platform handles millions of requests across dozens of ecommerce brands, and the eventsflowing through it feed the advertising and analytics platforms our clients spend against. When itdegrades, someone's marketing data degrades with it. 
This is a hands-on role. You will write Terraform, debug a failing deploy, tune a Cloudflare Workerroute, and review the pipeline that ships the app, sometimes all in the same week. You will also writecode beyond infrastructure: internal tooling, automation, the occasional fix in the Flask/Celery appwhen the problem sits between app and platform. 
What is hard about this job 
Honesty helps both of us here. This is a breadth role: edge, clusters, databases, pipelines, and the appwhen the problem lands between layers. Some days you will context-switch more than you wouldlike. Incidents are not abstract, when tracking breaks, a client's ad spend is flying blind, so pressurecomes with a commercial clock on it. Parts of the platform are better documented than others, andone of your jobs is to close that gap. And a small company means fewer specialists to lean on: moreautonomy, less cover. If you have only ever run infrastructure inside a large team, think about whetherthat trade excites you. 
How we work 
People create the advantage. We think critically and try to falsify our own conclusions beforeshipping them. We bias for action: a good change today beats a perfect one next month, and weimprove iteratively from there. We own outcomes end to end. If something is broken, the person whofound it fixes it or drives the fix, regardless of whose problem it officially is. 
We are a small team and attitude carries more weight than skill. Skills can be learned; how you treatpeople when things go wrong cannot be taught as easily. We want someone who stays constructivewhen production is on fire, hears "this design has a problem" as useful information rather than anattack, and lets the best idea win no matter whose it was. Being wrong here is cheap and admitting itearly is respected. If you need to be the smartest person in the room, or you keep score on credit, wewill not work well together. 
You would work directly with the CTO and the engineering team, with a lot of autonomy and theexpectation that you use it.

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