Position: NodeJS Engineer for Private Equity Investment Platform
Company: Intellias
Category: Node.js
Experience required: 3y
English level: upper
Published: 2022-02-01T00:00:00+02:00

UK-based investment platform that enables institutional and private investors to invest in top-tier private equity, venture capital, and real estate funds with low minimums and low fees. With our portfolio construction tools, investors can build sophisticated private equity allocations with unparalleled insight. The company is run and supported by private equity professionals and industry veterans from leading companies including Oaktree, EQT, Hg, Bain, Capital Group, Blackstone and J.P. Morgan.

The platform has had a phenomenal first year, bringing a selection of some of the world’s top Private Equity managers and strategies onto our platform. We are looking for someone to help build our growing Engineering team.

As the current system is a customised white label crodwfundting platform, our top priority is replacing the current backed system with new services that have the same base functionality but built specifically for our needs.

This is a 15-people Agile cross-functional team comprising NodeJS, VueJS and Google Cloud experts along with Delivery Management.

Responsibilities:
-Work as a software engineer in one of our multidisciplinary agile teams to develop the back end of our digital products. This could be either on business-facing products, or on our internal systems.
-Work with the Lead Engineer on the implementation of greenfield projects from start to finish.
-Can discuss and debate different approaches to a problem, and understand some of the pros and cons of common code and architecture patterns
-Value continuous improvement as an individual and a team

Requirements:
-Strong application and API development experience with Node.js
-Experience with Google Cloud
--Knowledge of Gitlab for CI/CD
Understanding of Availability and Reliability
A product mindset: you care about user outcomes and you want to make data-informed decisions - Experience working in a team that deals with ambiguity