SYSTEM QA ENGINEER/QA Manager

QA Manager -
Location: Jerusalem · Work Model: On-site · Team Size: [6–10] QA Engineers · Reports to: VP R&D

Work on a multidisciplinary product - software and hardware - MUST

· At least 10 years of QA methodologies experience – test design, test cases, test cycle.
· At least 5 years’ experience in managing large QA teams (10+ QA engineers).
· At least 3 years’ experience in writing or managing QA automation tests.
· Perform sanity testing, GUI testing, functional testing, system integration testing, user acceptance testing and performance testing.
· Scripting experience (Bash, Python, or Perl).
· Experience with Linux.
· Experience with Jira or similar Bug Tracking software.
· Experience with Automation tools such as Selenium/Appium.
· Ability to analyze logs to pinpoint the defect.
· Strong communication (verbal and written), time management skills, fast learner, and self- motivated.
· Demonstrated ability to work independently as well as a part of both large and small teams in a fast paced, team-oriented environment.
· Excellent spoken and written English.

An advantage
· Basic knowledge of Java/Python/C++.
· Experience with databases, basic knowledge of SQL queries.
· Experience in testing cloud-based environments
· Experienced with TestLink.
דרישות התפקיד
SYSTEM QA ENGINEER
2+ years of experience in system validation for storage or networking products
• Hands-on experience in Linux administration , including storage, networking
• Proficiency in automation scripting (Bash, Python, etc.).
• Expertise in black box and system testing methodologies
• Ability to design test strategies, write test cases, and develop automated scripts
• Strong analytical and problem solving skills with a proactive approach to debugging and
defect resolution.
• Excellent communication and collaboration skills for working with offshore teams.
Advantages (Preferred Qualifications)
• experience Testing High Speed Network Storage Systems with NVMe SSDs and NVMe-oF Protocol.
• experience using Gen AI technologies for system validation.
• Experience with cloud environments such as AWS, Azure, or Google Cloud.