Position: Automation QA Engineer
Company: MadFish.Solutions
Category: QA Automation
Experience required: 1y
English level: upper

**Project And Team**

MadFish.Solutions is a group of professionals who develop blockchain products. We provide exciting open source solutions that help to build the  Tezos DeFi ecosystem and promote decentralized technologies among people worldwide. Our main advantage is displayed in our motto: “Mad ideas implemented wisely”- which means we have no fear to deliver solutions of any complexity or extravagance.

We are a unique blend of young talent as well as seasoned industry experts. Our team has won several international blockchain hackathons and also according to the results of our cooperation we have gained the trust of Tezos, Ukrainian government enterprises, and many other partners from around the world.

Currently, we are looking for an experienced Automation QA Engineer to join our team. All our products for Tezos ecosystem. The products are completely open-source and have already passed the release.


**Responsibilities**

— Review of development specifications and technical design documents ; 
— Writing checklists and test cases;
— Identify, record, document thoroughly, and track bugs;
— Estimate, prioritize, plan and coordinate testing activities
— Conducting all types of testing at different stages of the development life cycle;
— Cooperate with the Customer Support Team on processing users’ feedback;
— Work on test documentation development;
— Test “proof of concept” and product customizations.
 

**Must-have Skills**

— Strong knowledge of software QA methodologies, tools and processes;
— Experience with JavaScript or/and Python;
— Experience in automated testing;
— Self-organizing work style;
— Good knowledge of algorithms and data structures;
— Skills of system development;
— Prior experience in Blockchain projects is a huge advantage.

**If you are interested in our offer, please please share for us your CV and if you have GitHub!**