Experienced Storage Performance Engineer with 15+ years of expertise in designing, validating, benchmarking, and optimizing enterprise storage systems, cloud storage platforms, and distributed object storage solutions. Proven track record in performance engineering, scalability testing, workload characterization, bottleneck analysis, and automation of storage validation frameworks. Strong expertise in Linux environments, Python-based test automation, cloud testing, and end-to-end performance tuning across storage infrastructure. Adept at collaborating with cross-functional engineering teams to improve product reliability, scalability, and customer experience for large-scale storage deployments.

Key Responsibilities

• Lead performance engineering initiatives for enterprise storage, cloud storage, and object storage products.
• Design and execute performance, scalability, endurance, stress, and reliability tests for storage platforms.
• Develop benchmarking strategies and performance validation methodologies using industry-standard tools and custom frameworks.
• Analyze storage stack performance across hardware, firmware, operating systems, networking, and application layers.
• Identify, troubleshoot, and resolve I/O bottlenecks affecting throughput, latency, and resource utilization.
• Create automated test frameworks and performance analytics solutions using Python and Linux-based tools.
• Evaluate storage protocols and technologies including NFS, SMB/CIFS, S3, iSCSI, NVMe, FC, and distributed storage architectures.
• Execute cloud-based performance validation for storage services deployed on public and private cloud environments.
• Collaborate with development, architecture, QA, and product management teams to define performance KPIs and acceptance criteria.
• Conduct capacity planning, workload modeling, and scalability assessments for next-generation storage solutions.
• Generate performance reports, executive summaries, and recommendations for design optimization.
• Mentor junior engineers and drive best practices in performance testing and automation.
• Support customer escalations involving performance issues and provide root cause analysis.
• Continuously improve CI/CD-integrated performance testing pipelines and monitoring frameworks.

Storage Technologies

• Enterprise Storage Systems
• SAN, NAS, DAS Architectures
• Distributed Storage Systems
• Cloud Object Storage
• Software Defined Storage (SDS)
• NVMe, NVMe-oF
• RAID Technologies
• Storage Virtualization
• File Systems and Data Protection Technologies

Storage Protocols

• S3 Object Storage
• NFS
• SMB/CIFS
• iSCSI
• Fibre Channel (FC)
• REST APIs

Performance Engineering

• Storage Benchmarking
• Performance Testing
• Scalability Testing
• Stress & Endurance Testing
• Workload Characterization
• Capacity Planning
• Latency Analysis
• Throughput Optimization
• Performance Tuning
• Bottleneck Identification and Root Cause Analysis

Cloud Technologies

• AWS Storage Services
• Azure Storage Services
• Hybrid Cloud Storage
• Cloud Testing & Validation
• Kubernetes Storage Concepts
• Container Storage Interfaces (CSI)

Programming & Automation

• Python
• Shell Scripting (Bash)
• Test Automation Framework Development
• Performance Data Analysis
• CI/CD Integration

Operating Systems

• Linux (RHEL, CentOS, Ubuntu, SLES)
• Linux Performance Monitoring & Tuning

Performance & Monitoring Tools

• FIO
• IOR
• Vdbench
• IOzone
• Perf
• Collectl
• Grafana
• Prometheus
• Splunk
• iostat
• vmstat
• sar

Version Control & DevOps

• Git
• Jenkins
• Docker
• Kubernetes
• Agile/Scrum Methodologies