Position: General QA (Manual + JS Auto) Marketing platform
Company: Xenoss
Category: QA
Experience required: 3y
English level: intermediate

Required skills

— 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.

As a plus

— Jira/Confluence
— Postman
— Jest framework
— AWS services

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
— Business trips
— 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

— 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 description

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.

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 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