Position: QA Automation Python
Company: Nayax
Experience required: 2y
English level: pre

If you have a strong technical background and can streamline all testing activities, then we would love to have you on board.

Join us with:

Knowledge and hands on MS SQL experience
2+ years of experience Python 3 (Pytest, pytest-playwright, pytest-xdist, pymssql\SQLAlchemy,allure-pytest, deepdiff, requests, marshmallow, dataclasses-json)
Selenium Webdriver(Locators: CSS selectors, xpath)
Jenkins
Patterns in automation
Git
Restful services, client-service architecture
Responsibilities:

Python AT creation (including UI and API) with SQL validations.
Separating test scope based on different test levels (Smoke, Sanity, Regression)
Close work with Jira (full SDLC).
Analyzing test reports, creating Bugs.
We offer:

Warm and friendly attitude to every specialist;
Unlimited access to learning platform to develop your hard skills;
Medical insurance & Healthcare program (dental insurance, massage, computer syndrome prevention, etc.);
Trust-based working with flexible schedule (from 8-10 a.m to 5-7 p.m);
Birthday gifts and internal loyalty program;
Paid vacation (20 working days) and sick days;
Work in a comfortable office/remotely in Odessa (or relocate to Odessa when peacetime comes)
More details about us:


Who we are

Nayax is a global Fintech company, specializing in cashless payment solutions for unattended points of sale such as vending machines, check-out stations, EV chargers, Laundromats and more.

Nayax’s proprietary software and hardware provide a complete solution for contact, swipe, and contactless payments including credit & debit cards, pre & post-paid cards, mobile apps and QR codes.

Our web-based back office provides real-time telemetry for remotely managing vending machines or other unattended businesses.

Nayax products can be found all over the world, with branches in 9 countries, and 40 distributing partners. Our products serve consumers in 55 countries and accept 26 currencies.