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.
דרישות התפקיד
System QA Team Lead

Requirements:
Leadership Experience: 2+ years of experience building and leading QA teams, with a focus on system-level and solution-level testing.
Hands-on System Testing Expertise: 5+ years of experience in testing complex, distributed systems or cloud-based products, with strong skills in system-level testing, stress/load testing, and customer scenario simulation.
Analytical, Troubleshooting, and Problem-Solving Skills: Strong analytical skills to understand system behavior, identify issues, and resolve complex problems effectively.
Ability to interpret logs, system metrics, and network traffic for accurate diagnostics
Programming Skills: Proficiency in Python or another scripting language, with a solid understanding of automation frameworks and practices.
Cross-functional Communication: Excellent communication skills and experience working closely with development, product, and field teams to align testing with customer needs.
Technical Expertise: Strong understanding of cloud computing, distributed systems, and Linux-based environments. Experience with test automation, CI/CD pipelines, and modern testing practices.
Advantages
Experience with NoSQL databases and database testing.
Familiarity with cloud computing technologies like AWS, Azure, or VMware.
Experience with containerization and orchestration technologies like Docker or Kubernetes.
Background in developing automation for high-scale, high-availability systems.