Backend (Node.js) Engineer | Marketing Platform (вакансія неактивна)

Required skills

— 2+ years of experience in Software Development
— Strong knowledge of JavaScript/TypeScript
— Proficiency in Node.js
— Experience with React, Redux
— Knowledge of common architectural patterns
— Solution design principles
— Test design
— 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.

Nice to have

— RabbitMQ
— Redis
— AWS SDK
— MongoDB
— TypeScript
— Docker
— column-based db engines (ClickHouse DB)

We offer

— 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

Responsibilities

— Development and delivery functionality related to reporting and analysis of advertisement performance
— Development and delivery functionality related to forecasting of advertisement performance
— Integration with third-party advertisement reporting API (Google Campaign Manager, Meta, YouTube, DV 360)
— Continuous improvement services and micro-services
— Solving complex architectural problems with a team
— Customer feedback support

About project

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