Xenoss is a software development house solving complex big data, AI and high-load problems. We build high-load multi-user software, AI-powered systems, data mining and big data solutions. We do hard-core programming.
11 октября 2021

Middle Front-End (React) Developer | Collaborative sales platform (вакансия неактивна)

Киев, Харьков, Львов, Днепр, Одесса, Винница, Житомир, Ровно, Ужгород, Чернигов, Черновцы, удаленно

What will be your goal

Your goal would be to build from scratch the Front End part of a content management system (i.e. search engine) with user management, collaboration features, smart analytics and recommendations.

What you will do

  • You’ll be working in a cross-functional fast-paced scrum team on building the product from scratch
  • You’ll be collaborating with FE lead developer, BE developers and QA engineer
  • You’ll be implementing FE logic and layout with big focus on performance & UX
  • You’ll be actively communicating with the product owner and product designer on the feature requirements.

Requirements

  • 2+ years of software development
  • Good knowledge of JavaScript/TypeScript
  • Experience with React
  • Software design skills, design patterns
  • Goal orientation & Problem-solving
  • Ability to communicate in English

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

Project

We are building a new Content Management Platform with a smart search engine for big globally-distributed sales teams. The product is being build from scratch (the latest tech, no legacy, no support)

The product would allow sales managers to execute the search within the multiple unstructured sources of sales materials within their organization and provide insights and recommendation. Sales teams will be able to log successful deals in the platform to allow their colleagues who deal with similar challenges to search, reuse and evaluate the shared experience. Content rating, sharing, and comments will allow efficient collaboration and improve reuse of insights.

The product will be built with a broad spectrum of tech for storing, processing, indexing, and searching unstructured data of various formats, like videos (including YouTube), files from storage (including Google Drive), web pages (articles from blog, news) etc.

Technology stack: React, Redux, JavaScript, TypeScript, Ant Design, ElasticSearch, MongoDB, Java, Docker, Kubernetes, AWS