Sr. QA Automation Engineer

Job Title: Sr. QA Automation Engineer

Location: 5 days onsite in San Jose CA

Duration: 6 months plus

Interview process:

One round onsite interview.

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.

Job Description:

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.

Responsibilities and Tasks:

Test Strategy & Execution: Develop and maintain test plans cases and reports based on product requirements and industry standards (NVMe PCIe OCP).

Automation Development: Design build and maintain sophisticated automated test scripts and frameworks using Python to drive regression suites and CI/CD pipelines.

Storage Validation: Execute functional endurance and stress tests on enterprise SSDs (U.2/U.3 EDSFF) to maximize coverage.

Lab & Infrastructure Management: Configure and maintain enterprise server hardware (Dell HPE Supermicro) including BIOS/UEFI RAID controllers and networking setup.

Defect Management: Analyze test results log defects in JIRA and drive root-cause analysis for complex system-level failures.

OS & Virtualization: Manage OS installations and configurations across Linux (RHEL Ubuntu) Windows Server and VMware vSphere/ESXi environments. Virtualization experience is a PLUS.

Innovation: 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.

Required Qualifications:

Education: Bachelors degree in Computer Science Electrical Engineering or a related technical field.

Experience: 5 years of hands-on experience in QA automation and systems validation specifically focusing on enterprise storage or server systems.

Coding: Expert-level proficiency in Python and Shell/Bash scripting for lab automation and test orchestration.

Preferred Qualifications:

Storage Expertise: Deep understanding of SSD architecture NVMe/PCIe protocols and file systems (ext4 XFS NTFS).

Tooling: Proficiency with IO generation tools such as FIO VDBench IOMeter or other equivalent tools.

Virtualization: Advanced experience with VMware lifecycle management (cloning migrating and troubleshooting VMs). Virtualization Knowledge is a PLUS

Emerging Tech: Experience utilizing generative AI or automation intelligence to enhance test development. AI env/setup/deployment know-how is a PLUS