Position: QA Automation Lead, Global Retail Services
Company: DataArt
Category: QA Automation
Experience required: 5y
English level: intermediate

**About the vacancy**

Our client is a global retail and wholesale company operating across Europe and several countries in Asia and Africa. It is the leading international player in the trade industry. It is customer-focused and innovative. The distinctive business concept is oriented towards small and large companies within hotels, restaurants, and catering businesses as well as individual customers.

DataArt’s specialists built a product from scratch and continue to develop it. The product covers all kinds of the functionality of a Supply Management System.

The project uses modern Agile approaches to the product development process, such as Spotify Framework, Continuous Deployment, etc.

The main goal for this role will be to set up a QA Automation strategy for the whole organization, establish processes and engage product teams in QA Automation activities.

We hire people not to a project, but to the company. If the project (or your work in it) is over, you go to another project or to a paid “Idle”.
**
Must have**
- 5+ years of experience with automated testing
- Experience and desire of setting up QA Automation strategy and processes on organization level
- Experience in leading QA Automation teams
- Experience building test frameworks from scratch
- Knowledge of the types of tests and how to organize them as part of the process of testing various kinds of applications
- Understanding of the product quality control lifecycle
- Good experience with Selenium WebDriver, knowledge of programming languages (Java)
- Maintaining test documentation (test plans, test cases, etc.)
- Experience with Agile methodologies
- Experience working in distributed teams, excellent communication skills
- Independence, sense of ownership, ability to make decisions without a supervisor
- Spoken English
**
Would be a plus**
- Experience working in product-development companies and teams
- Knowledge of database fundamentals and database management skills (one of MSSQL, Oracle, MySQL, PostgreSQL, etc.)
- Knowledge of programming patterns
- Knowledge of various other automation tools, frameworks, and languages (Python, JavaScript)