Sr.Back End (Node.js) Engineer | Marketing Platform

Необходимые навыки

— 4+ years of experience in Software Development
— Strong knowledge of JavaScript/TypeScript
— Proficiency in Node.js
— Software design skills and design patterns
— Experience with NoSQL databases
— Goal orientation & Problem-solving
— Good English

Do not hesitate to apply if you are missing some specific experience. We will be happy to help you with gaining one.

Будет плюсом

— React
— RabbitMQ
— MongoDB
— Docker, Kubernetes
— AWS

Предлагаем

— Unlimited WFH and flexible working hours
— Highly skilled & friendly team with an excellent work ethic
— Paid vacation and sick-period
— Long term employment
— Covering costs of professional events and English lessons
— Trips to London (optional)
— Opportunity to choose the equipment you like (MacBooks)
— Various snacks, fresh fruits, nuts in the office that’s open 24/7 (in case you’d like to hit up)
— Zero bureaucracy and other bullshit

Обязанности

Your goal will be to ensure that features, that you will be working on with the team, are built with a high quality and in an efficient way.

— You’ll be working together with the project team on building & designing new features and ensuring their smooth integration into the solution.
— You’ll be actively communicating with the product team on the feature requirements.
— You’ll be transforming product requirements into reliable, scalable and maintainable solution.

О проекте

Client: Successful British ad-tech company with big global clients including Virgin, Nestle, Adidas, J&J, Uber, Nissan, Shell, HSBC.

Project: The product we are building is an AI-powered SaaS platform for managing marketing campaigns and generating promotional visuals (mainly digital ads), that is used by global top brands.
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, the platform learns & provides the most relevant creatives for each user segment (audience).

Tech stack: Node.js, Express.js, React.js, Redux, Rematch, Typescript, Python, Java, RabbitMQ, MongoDB, ClickHouse OLAP DBMS, Redis (cache), Elasticsearch, AWS, Docker, Kubernetes