Full Stack Engineer

London, England, United Kingdom · Engineering

Description

At Klydo, we believe that too often ideas for innovation come from random moments of insight, resulting in the vast majority of innovation failing. As such, we are building technology that enhances creative thinking, enabling any team in any business to deliver breakthrough innovation. We've even given this new approach to innovation a name - klydoscope thinking.

Our first step to achieving this is developing an innovation research tool with a creative edge. Using an inventive combination of machine learning and beautiful data visualisation, Klydo taps into the wealth of information that exists online and helps companies come up with their next breakthrough product idea. By understanding the why and how behind every product in a market, we can uncover the whitespace innovation opportunities - just imagine a tool that could have spotted the insights behind BrewDog, Halo Top and Dollar Shave Club before they did. That's where we're heading.

To help us on our journey, we've got the backing of world-class VC investors, including those behind Shazam, Zoopla and LoveFilm to name just a few. We've also signed up leading consumer brands to partner with and we'll be growing the team fourfold over the next year. We're excited to offer you the opportunity to be part of our founding team and play a major role in shaping Klydo from the beginning.


Why is this role important for Klydo's success?

We’re looking for a Full-stack Engineer to take ownership of our client facing web app, bringing the various parts of our machine learning pipeline together to help us develop an extraordinary product.

You’ll be responsible for multiple parts of the development of our platform, from architecture and security to performance and feature UX. You'll be adept at collaborating with other engineers and designers, and comfortable handling both back and front end. Currently, our application is built with Django and React, interacting with other microservices that serve our ML processes. Everything is hosted on Amazon Web Services with Docker.

It's an exciting opportunity for you if you want to work for a high-growth machine learning startup. You'll see your work directly contributing to the success of our company and you'll see the impact your work has for our clients as our technology helps them accelerate their product innovation.


You will be responsible for:

Requirements

Benefits

Make your mark

Be in control

Stay curious, keep learning

Enjoy growing rewards

Have fun along the way


Klydo is an amazing business to be part of with an exciting vision and massive growth prospects. We celebrate diversity and as an equal opportunity employer, we are committed to creating an inclusive environment for all our employees. We'd love for you to join us.


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