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Platform Engineer

CompraTica Empleos

EMP:Technology
London
Tiempo Completo
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Descripción

Hi, we’re Bloom & Wild.

Founded in 2013, our mission back then was to make sending and receiving flowers the joy that it should be, by harnessing technology, brand and letterbox delivery.

Together, we’ve fulfilled over 20 million deliveries (and counting!), making us the largest direct to consumer flower business in Europe.

We announced £75 million Series D funding in 2021 and that same year acquired bloomon in The Netherlands and Bergamotte in France.

Now home to a family of 3 beautiful brands, we're expanding our gifting offering to other categories like cakes, candles and cocktails.

This is all part of our ambition to build Europe's #1 direct to consumer gifting destination.

  ⚙️Technology at Bloom & Wild Our Technology team of over 60 people sits right at the heart of our business.

We build and maintain the solutions that power e-commerce, production and fulfilment, enabling our brands to delight our customers every day.

The Product Engineering team consists of five cross-functional squads who each lead their own business and architectural domain, and are supported by our Platform, Domain Engineering, Data and IT teams.

Our platform uses technologies including Ruby and Rails and Python/ React, backed by PostgreSQL, Fargate/ECS on AWS, and Cloud Run on GCP.

It exposes APIs that are used by our multi-brand Angular webapp and our native iOS and Android mobile apps.

  We’re also looking at developing new domain driven services & microservices where applicable.

Most of our team is based in the UK or The Netherlands and works in a flexible model, with choice in how often they travel to the office.

Our squads meet in person at least once per quarter in order to maintain connections, collaborate on larger projects and have fun together.

You can read lots more.

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our technology stack and our culture over on our tech blog - Code & Wild 💻 What you’ll be doing As a Platform Engineer you'll work across the whole of Technology (Frontend, Backend, Data Engineering, Data Sc...

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