Position: Senior Front-End Engineer | Collaborative sales platform
Company: Xenoss
Experience required: 3y
English level: intermediate

Required skills

— 4+ years of software development
— Strong FE development experience
— Strong knowledge of JavaScript/TypeScript
— React.js/Angular2 or similar
— Strong knowledge of browser limitations, testing, and debugging
— Advanced Linux user
— Good spoken and written English

As a plus

— AWS
— Java

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 responsible for developing a frontend aimed at extremely good UX for smart content search engine with elements of social network and analytics for global sales teams. You’ll be designing the architecture and delivery of the FE part of the project.

Project description

We build a corporate social network enabling big globally distributed teams to improve productivity by sharing successful problem-solving approaches with colleagues. Teams put successful cases description in global fuzzy-structured storage allowing their colleagues who deal with a similar challenge to search, reuse and evaluate the shared experience. The heart of the solution is a smart search engine enabling obtaining relevant content in an unstructured corporate data hub. Content rating, sharing, and comments systems introduce efficient collaborative mechanisms and improve experience reuse. We use a broad spectrum of tech for storing, processing, indexing, and searching unstructured data of various formats, like videos, GoogleDrive files, web pages, etc.

The technology stack:
Java 15, Spring, Docker, Kubernetes, ElasticSearch, MongoDB, AWS, JavaScript/TypeScript, React.js