Position: Back-end Engineer (Node.js/MongoDB) | ADL
Company: Xenoss
Experience required: 3y
English level: intermediate

Required skills

— 3+ years of relevant experience
— Strong knowledge of JS
— High proficiency in Node.js
— High proficiency in MongoDB
— Experience with Express.js
— Experience with TypeScript
— Experience with RabbitMQ
— Working proficiency in English

Do not hesitate to apply if you are missing some specific experience. We will be happy to help you with gaining one.

As a plus

— React.js
— Docker
— Kubernetes
— AWS

We offer

— Highly skilled & friendly team with an excellent work ethic
— Great experience and professional growth by working on challenging projects
— Flexible working hours
— Work-from-home option
— Paid vacation and seek-period
— Various snacks in the office
— Trips to London (optional)

Responsibilities

— You’ll be working in a cross-functional fast-paced scrum team on building & designing new features and ensuring their smooth integration into the product.
— You’ll be actively communicating with the product owner and product designer on the feature requirements.
— You’ll be transforming product requirements into reliable, scalable and maintainable solution.

Project description

Client:
Successful British ad-tech company with big global clients including Virgin, Nestle, Adidas, J&J, Uber, Nissan, Shell, HSBC.

Project:
The solution helps big global brands to automate the creation of marketing creatives with help of AI/ML, configure advertising campaigns in buying platforms (Google, Facebook and more), analyze performance data and discover insights, optimize performance, grow revenue & increase customer satisfaction. Through AI, creative can be reformatted at speed and scale, and automatically edited to suit the location and audience it is intended for, saving production costs and ensuring its highly targeted.

Building technology for smart advertising solutions is one of the biggest modern challenges that currently exist. Making ads to be more efficient, more relevant & less intrusive will benefit both advertisers and users. By collecting and analyzing (big) data on user reaction to the creatives platform learns & provides the most relevant creatives for a particular audience.

Tech stack: Node.js, Express.js, React.js, Redux, Rematch, Typescript, AWS, Docker, MongoDB, Elasticsearch

The product is used by Nestle, Adidas, Uber, Virgin, HSBC, J&J, and other top brands.