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General QA (Manual + JS Auto) | Marketing platform

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Requirements:

— 3+ years of experience in testing software
— Hands-on experience with JavaScript for autotests
— Good experience in testing web-based applications with complex business logic
— Scrum experience with short release cycle (continuous delivery)
— Proficiency in creating and maintaining test documentation
— Experience in testing API (REST) and databases (NoSQL)
— Good English

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

Will be a plus:

— Jira/Confluence
— Postman
— Jest framework
— AWS services

What we offer:

— Teams of people who love programming
— Complex technical challenges with big data/AI/high load
— Freedom to make your own engineering decisions and broad space for creativity
— Modern technology stack to work with
— Work remotely or from the office options on a flexible schedule
— Long-lasting projects
— Financial compensation for professional events and education
— Opportunity to choose the equipment you like
— Above-market compensation

Responsibilities:

— You’ll be building a high tech product together with the international cross-functional fast-paced scrum team (PO, UX, Devs + You 🙂 )
— You’ll be creating and maintaining test documentation
— You’ll be doing manual testing of the new features for the web-based platform (Web UI and REST API).
— You’ll be creating automated tests using JS language

Project:

The product we are building is an AI-powered SaaS platform for managing marketing campaigns and generating promotional visuals (mainly digital ads), that are used by global top brands.

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, creativity 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 relevance.

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

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