Chennai, Tamil Nadu
Job Summary
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
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.
Skill Requirements
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
Other Requirements
#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-
