Sr. QA Automation Engineer

Job Title:

Sr. QA Automation Engineer

Location:

5 days onsite in San Jose, CA Duration: 6 months plus Brief

Description:

The SQA team within Systems Engineering group is looking for a motivated Senior QA Automation Engineer to join our high-performance validation team.

Our organization focuses on the development and validation of enterprise-grade datacenter storage solutions. The SQA team is seeking a talented, detail-oriented automation engineer to ensure our products meet the highest standards of quality, performance, and reliability.

In this role, you will design, develop, automate, and execute comprehensive test plans to validate the functionality and endurance of enterprise SSDs and server storage systems. You will work closely with cross-functional development teams to identify, reproduce, and resolve defects throughout the product lifecycle. Your contributions will directly impact product maturity and customer satisfaction.

Internally, we are constantly innovating to enhance our test coverage using emerging technologies like generative AI and advanced automation platforms. A successful candidate should be self-driven, an expert in Python automation, and capable of thriving in a collaborative, fast-paced lab environment.

• Develop and maintain test plans, cases, and reports based on product requirements and industry standards (NVMe, PCIe, OCP).
• Design, build, and maintain sophisticated automated test scripts and frameworks using Python to drive regression suites and CI/CD pipelines.
• Execute functional, endurance, and stress tests on enterprise SSDs (U.2/U.3, EDSFF) to maximize coverage.
• Configure and maintain enterprise server hardware (Dell, HPE, Supermicro), including BIOS/UEFI, RAID controllers, and networking setup.
• Analyze test results, log defects in JIRA, and drive root-cause analysis for complex system-level failures.
• Manage OS installations and configurations across Linux (RHEL, Ubuntu), Windows Server, and VMware vSphere/ESXi environments. Virtualization experience is a PLUS.
• Stay current with emerging storage protocols and integrate AI/ML tools (e.g., Copilot, Claude) to optimize test generation and defect prediction. AI/ML tools development and know-how is a PLUS.

• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field.
• 5+ years of hands‑on experience in QA automation and systems validation, specifically focusing on enterprise storage or server systems.
• Expert-level proficiency in Python and Shell/Bash scripting for lab automation and test orchestration.

• Deep understanding of SSD architecture, NVMe/PCIe protocols, and file systems (ext4, XFS, NTFS).
• Proficiency with IO generation tools such as FIO, VDBench, IOMeter or other equivalent tools.
• Advanced experience with VMware lifecycle management (cloning, migrating, and troubleshooting VMs). Virtualization knowledge is a PLUS.
• Experience utilizing generative AI or automation intelligence to enhance test development. AI environment/setup/deployment know-how is a PLUS.