QA lead

Verix provides AI-based solutions to commercial Life Science organizations, leveraging our proprietary advanced analytics platform that enables quick building of data-driven applications. Our customers are some of the largest Life Science companies and they use our solutions for their commercial operations business challenges.
We are looking for a motivated and talented QA lead to join a team of veteran software engineers, data analysts, and BI developers.
The QA lead will build Verix’ QA operations from the ground up, while being 100% hands-on. This involves testing Verix’s advanced analytics platform as well as a collection of applications and solutions implemented over it. The QA lead will spearhead the efforts to automate testing where possible.
The optimal candidate will have at least 5 years of experience as a QA engineer testing complex systems (server, client, GUI, database) as well as a demonstrated leadership and management capabilities. If you are looking to play a significant role in a growing team applying innovative solutions that make a difference – This job is for you!
Responsibilities:
> Define and actuate Verix’s testing methodologies
> Design and implement test plans for Verix’s platform, as well as for the applications and solutions built upon it
> Manage and execute test plans throughout the SDLC stages
> Participate in design meetings and agile meetings (sprint planning, reviews, etc.)
> Define and maintain testing metrics
Requirements:
> Senior leadership capabilities running processes and initiatives with ability to collaborate and establish basis to scale
> At least 5 years of experience as a QA engineer
> Passion for quality and for customer experience
> Experience testing complex systems
> Strong problem solving and analysis skills, attention to details
> Experience working in Agile-like methodologies
> Proven experience in a leading capacity – people, processes, projects, etc.
> Experience with test-automation – an advantage
> Good understanding of SQL and relational databases
> Experience with AWS – an advantage
> Good communication skills
> Independent, fast learner
> B.Sc. in Computer Science (or related) – an advantage
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