Qubit Labs is an Ukrainian IT-company, partner for tech industry product leaders all over the globe. We build developers’ teams for top companies, growing tech businesses and innovative startups from the USA, Europe, and the Middle East.
12 июня 2020

Senior Python developer (вакансия неактивна)


Необходимые навыки

— Engineering degree from a reputed engineering institute;
— Minimum 5 years of work experience;
— Excellent analytical skills and understanding of computing fundamentals;
— Experience in Python, with knowledge of at least one Python web framework;
— Experience developing and consuming REST services;
— Experience with one or more of search, text processing, natural language processing, or other similar techniques;
— Experience with Databases (Relational, NoSql);
— Experience with unit testing, TDD;
— Experience with version control tools ( e.g. Git);
— Experience with cloud platforms (e.g. AWS) is a plus;
— Basic knowledge of front-end technologies, such as JavaScript, HTML5, and CSS3 is a plus;
— Experience with container technologies ( i.e. Docker) is a plus;
— Good communication skills (written and verbal).


— Direct communications;
— Health insurance;
— Comfortable office in the heart of Kyiv (near Holosiivska station);
— Positive corporate environment based on principles of respect, support and mentorship;
— Minimum bureaucracy;
— Competitive compensation;
— Kick off parties.


— Design and develop product features independently;
— Adopt and apply multiple technologies;
— Maintain attention to detail while working in fast paced environment;
— Think creatively and justify design and code decisions;
— Passionate about learning and leveraging new cutting-edge technologies;
— Communicate effectively with product stakeholders;
— Self-starter, self-driven to perform and deliver results.

О проекте

Our client is a leading provider of innovative enterprise software for the Upstream Oil & Gas Industry. We develop cutting-edge in-premise and cloud products to improve the way Oil & Energy companies operate, by enabling collaborative and data-science driven planning, decision-making, and execution.