Senior Storage Benchmarking Engineer (Storage)

TL;DR

Senior Storage Benchmarking Engineer (Storage): Designing, executing, and analyzing performance benchmarks for data storage systems with an accent on end-to-end performance troubleshooting across compute, network, and storage. Focus on developing automated benchmarking workflows and engaging with benchmark standards organizations.

Location: Must be based in Santa Clara, California and work from the office

Salary: $176,000–$265,000 USD

Company

hirify.global is reshaping the data storage industry with innovative thinking and a commitment to growth.

What you will do

• Configure HPC lab environments for maximum efficiency and scale with robust automation.
• Design and execute storage performance benchmarks using industry-standard tools.
• Perform end-to-end performance troubleshooting across compute, network, and storage components.
• Develop and maintain automated benchmarking workflows using Python, Ansible, or Bash.
• Analyze benchmark results, generate detailed reports, and provide actionable insights for product optimization.
• Engage directly with benchmark standards organizations and communities to influence methodologies.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
• 5+ years of experience in storage performance benchmarking or a related technical role.
• Proven expertise with storage benchmarking tools, including fio, vdbench, and SPEC SFS 2020.
• Strong end-to-end performance tuning and troubleshooting skills across compute, network, and storage layers.
• Hands-on experience with automation tools like Python, Ansible, and Bash for test orchestration.
• Exceptional communication and writing skills, with experience authoring technical marketing documents or whitepapers.
• Deep understanding of enterprise storage technologies (NVMe, SSDs, distributed systems).

Nice to have

• Experience with hirify.global products (e.g., FlashArray, FlashBlade).
• Familiarity with cloud storage (e.g., AWS S3, Azure Blob, Google Cloud Storage) or HPC environments.
• Knowledge of containerized benchmarking workflows using Docker or Kubernetes.
• Prior contributions to benchmark standards or open-source performance tools.

Culture & Benefits

• Flexible time off and wellness resources to manage work-life balance.
• Company-sponsored team events fostering community.
• Commitment to innovation, growth, and continuous learning.
• Inclusive team culture with Employee Resource Groups.
• Named Fortune's Best Large Workplaces in the Bay Area and certified as a Great Place to Work®.