Senior Performance Engineer, Data Protection & Security Platform Engineering
Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe.
We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and our culture.
Want to join the leader in AI-powered data security?
As a Performance engineering, you will work as part of a team responsible for modeling, measurement, and analysis of DataProtect’s performance. The overall focus of this role is a part, is on competitive market and customer requirements, technology advances, product quality, product cost and time-to-market. Performance engineers focus on performance analysis and improvement for new products and features as well as enhancements to existing products and features.
This position requires an individual to be broad-thinking and systems-focused, creative, team-oriented, technologically savvy, and driven to produce results.
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 FOLLOWING:
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
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 structures
Experience with enterprise storage, backup/recovery, file systems, or data protection technologies
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
Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making
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Equal Employment Opportunity Employer (EEOE)
Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.
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In-Office Expectations
Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.
Interested candidates based outside of the designated areas are welcome to apply, provided they have the right to work in the job location.