Position: General QA (Manual+Automation) | Collaborative sales platform
Company: Xenoss
Category: QA
Experience required: 3y
English level: intermediate

Required skills

— 3+ years of QA experience
— Good understanding of STLC
— Experience organizing the QA process in new projects from scratch
— Manual and automated testing of web API and Web UI
— SQL/NoSQL database experience
— Advanced Linux user
— Good spoken and written English

As a plus

— Java/Python/JavaScript experience

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 designing, organizing, and performing the QA process and procedure of the product, working with a team of BE and FE developers. Your responsibilities will include manual testing and test automation of the product API and web interface.

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