Senior Performance Engineer, Data Protection & Security Platform Engineering

Cohesity•Santa Clara, CA

1d•Hybrid

About The Position

Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale. We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design. Join us on our mission to shape the future of our industry. We are looking for a highly motivated Senior Performance Engineer to join our Data Protection and Security engineering organization. In this role, you will be responsible for driving performance, scalability, and resiliency initiatives across Cohesity’s distributed platform and services. You will work closely with engineering, architecture, and product teams to benchmark, analyze, optimize, and scale next-generation enterprise data management solutions across on-prem and cloud environments. The ideal candidate is systems-focused, analytical, automation-driven, and passionate about solving complex performance challenges in large-scale distributed systems.

Requirements

BS/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 domains
Strong understanding of performance analysis, benchmarking methodologies, and systems modeling
Deep knowledge of distributed systems, operating systems, storage systems, hardware architecture, and data structures
Strong programming and scripting skills in Golang and/or Python
Experience building automation frameworks and performance engineering infrastructure
Understanding of cloud infrastructure, storage, networking, and resource limitations across public cloud environments
Strong analytical and problem-solving skills with the ability to work on complex technical challenges
Excellent communication and collaboration skills with the ability to influence across teams and leadership levels
Ability to thrive in a fast-paced and rapidly evolving environment

Nice To Haves

Prior experience working on enterprise infrastructure, storage, cloud, or security platforms preferred
Experience with enterprise storage, backup/recovery, file systems, or data protection technologies

Responsibilities

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