CHI Software is a development center, based in Kharkiv, Ukraine with representative offices in Ramat Gan (Israel) and Los Angeles (California, the US). We started off as a small web design studio in 2006. Now we have a team of 460+ experts and complex in-house expertises in different business domains and industries to offer.
12 апреля 2019

Middle Python Developer (вакансия неактивна)

Харьков, Днепр

Необходимые навыки

— Experience with Python 2.7 AND 3.x
— Experience with GCS (Google Cloud Services) and AWS services.
— Rest APIs
— Experience with DevOps (Bash on Ubuntu).
— Advantage: Google App Engine, NDB, Docker, Jenkins, Nginx, Server scripts, Websockets, SIP
— Good understanding of security aspects (security awareness)
— Good level of English


With us you can:

Develop your technical knowledge:
— Use latest technologies
— Participate in technical events and conferences (the cost is covered by the company)
— Regular techtalks and professional development

Improve your soft skills:
— Build strong teamwork skills and become an essential part of the dynamic teams
— Improve your English at classes and speaking directly with clients
— Increase your productivity and communication level via Scrum, Kanban, Agile methodologies

What else do we offer?
— Competitive compensation and benefits
— Flexible and negotiable schedule
— Nice and comfortable office located near metro station
— Covered rest period (20 business days)
— Free English classes (we have 3 teachers in our team)
— Break area with Xbox, air hockey, ping-pong and table soccer
— Truly friendly atmosphere and unforgettable events
— Bookcrossing
— Basketball and ping-pong teams
— Discounts offered by individual bonus cards (our partners are coffee shops, bars, and fitness centers)


Tasks are various. Server side api writing and maintenance. Site scraping. Service management etc.
Classic backend linux+python requirements. But at high level. Someone that can be self maintained.

О проекте

About project:
Highload service for data crawling about persons from Social Networks, Search Engines and other sources. Both online and background crawling were applied. Data was stored in Mongo and Redis as Fast-Cache and message qeue for SocketIO. Based on microservices and output on socketio.