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.
17 травня 2022

Solution Architect (Java) | Collaborative sales platform (вакансія неактивна)

Київ, Харків, Львів, Дніпро, Одеса, Вінниця, Чернігів, Житомир, Рівне, Ужгород, Чернівці, Лондон (Велика Британія), Нью-Йорк (США), віддалено

What you will do

You’ll be working as a solution architect with a team of qualified developers building the smart content search platform for sales teams of global vendors. You’ll be responsible for overall solution design, architectural governance of the product, building technical roadmap, choosing the right technologies and architectures, team technical mentoring, and integration with various systems. You will have a very high influence on the processes organization, delivery processes, and building of product roadmaps

The technology stack

Java 15, Spring, Docker, Kubernetes, ElasticSearch, MongoDB, AWS, JavaScript/TypeScript, React.js

Requirements

  • Team leading experience 3+ years
  • Strong proven AWS experience
  • Good understanding of SLDC/Scrum
  • Professional Java experience 7+ years
  • OOP/design patterns proficiency
  • Experience building complex systems
  • SQL/NoSQL database experience
  • MongoDB experience
  • Advanced Linux user
  • Good spoken and written English

Would be a big plus

  • Docker/Kubernetes experience
  • JavaScript/TypeScript experience

What 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

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.