Position: Automation QA Engineer (Linux) for Trading server-sided application
Company: Fluent Trade Technologies
Category: QA Automation
Experience required: 3y
English level: intermediate

Fluent Trade Technologies is the fastest ‘end-to-end’ data & trading technology provider in the FX, FI and Futures markets.

Fluent is a market leader with a significant tier 1 & 2 client base in the financial world .

Please visit us at www.fluenttech.net

We are looking for an experienced Automation QA Engineer, to join our growing testing team. The job includes leading the development of QA Automation tools, combined with test executions and bugs detection on a financial application.


What you will do:

- Be a part of rapid development cycles to deliver high-quality products
- Define the automation infrastructure from the ground up
- Choose and incorporate automation products, procedures and architecture
- Hands-on development of infrastructure and Automated testing
- Bring us from a bunch of solutions to a full CI infrastructure 
- Go over specifications documents thoroughly to find special cases and scenarios
- Become the house expert on automation infrastructure.
- Participate in manual QA to better understand automation needs.


What you will need:

- Leading at least one automation project
- 3 years experience of Automation development
- 2 years experience as a QA Engineer
- Hands-on Familiarity with automation technologies in the market: Jenkins, etc.
- Experience with a scripting language - Python, Bash. 
- Experience with analyzing large log files: regular expressions etc.
- Experience in designing and developing CI infrastructure in Linux
- Experience in writing automation tests 
- Familiar with the following technologies : C++, Unit tests, multi threading 
- Bug detection abilities and good analysis to root cause detection


Advantage:

- Financial background: FIX protocol, FX trading, 
- Experience with Jira, SVN, Jenkins
- Developed in C++, specifically unit tests
- Basic SQL