Verified Job
IT / Software / Data Analyst
Senior Performance Engineer, Data Protection & Security Platform Engineering
IT / Software / Data Analyst
#748793
Remote / WFH
Cohesity · Bengaluru, Karnataka
Job Description
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
Data Privacy Notice for Job Candidates:
For information on personal data processing, please see our Privacy Policy.
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, ****** orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or recruiting@cohesity.com for assistance.
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.
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
Data Privacy Notice for Job Candidates:
For information on personal data processing, please see our Privacy Policy.
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, ****** orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or recruiting@cohesity.com for assistance.
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.
