HOW YOU’LL SPEND YOUR TIME HERE
Measure, analyze, and optimize product performance to identify scalability and efficiency improvements
Design and execute storage-oriented and cloud-scale performance workloads, benchmarks, and simulations
Develop automation frameworks, tools, and infrastructure to improve performance testing coverage and productivity
Partner closely with development and architecture teams to drive performance optimization initiatives across the platform
Evaluate architectural trade-offs and prototype opportunities for performance enhancements
Build analytical and simulation-based models to predict system behavior under real-world customer workloads
Analyze bottlenecks across compute, storage, networking, and distributed services layers
Drive performance reviews and communicate findings, recommendations, and risk areas to cross-functional stakeholders and leadership
Contribute to best practices around benchmarking, observability, telemetry, and systems tuning
WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWIN
GBS/MS/PhD in Computer Science,
Electrical Engineering, or related technical field (or equivalent practical experience
5+ years of experience in performance engineering, distributed systems, systems engineering, or related domain
Prior experience working on enterprise infrastructure, storage, cloud, or security platforms preferred
Strong understanding of performance analysis, benchmarking methodologies, and systems modeling
Deep knowledge of distributed systems, operating systems, storage systems, hardware architecture, and data structure
Experience with enterprise storage, backup/recovery, file systems, or data protection technologies
Strong programming and scripting skills in Golang and/or Pytho
Experience building automation frameworks and performance engineering infrastructure
Understanding of cloud infrastructure, storage, networking, and resource limitations across public cloud environment
Solid analytical and problem-solving skill
📌 Performance Engineer (Pune)
🏢 Cohesity
📍 Pune