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QA TL

Israel, Hod HaSharon

About The Position

Automation QA Team Leader 

We are looking for candidates with expertise and passion for building high quality, large scale micro services application, to join our fast-growing QA team and company.

In this role, you will have responsibility for

Ownership of software project testing: defining test strategy, writing test plans, designing and executing software tests, iterative development process improvement.

Demonstrated knowledge of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control, build and release processes, continuous deployment, and test suite development and maintenance.

Overall system quality perspective, understand the system architecture and components.

Developing and deploying automation test frameworks.

Designing, developing and executing large scale functional, stress and performance tests.

Review the development of test plans and automation execution for the new features.

Working with other teams to deliver and operate large scale, distributed services big data application

Drive quality initiatives and point out areas that require attention.

Basic Qualifications

Bachelor in Computer Science or Engineering, or equivalent experience- A must. 

At least 5 years of software testing experience, out of which at least 2 as a team leader.

At least 3 years’ experience coding in Java.

Working with Spring, TestNG frameworks.

Experience with bug-tracking tools: Jira, QC, Bugzilla etc.

Automation testing experience with API, microServices, web related technologies or Big-Data technologies (like Haddop, Elastic-Search, Kafka, Redis, etc- advantage.

Ability to run tests at large scale and filter out relevant information in large result sets.

Ability to work in a fast paced and agile development environment.

 

Preferred Qualifications 

Creating and maintaining automated tests frameworks.

Understanding of overall system architecture, scalability, reliability, and performance in a database environment.

Experience with large-scale data analytics and data warehousing.

 

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