About the role

Aplyr's Quick Take

This role is focused on enhancing the performance of Cohesity's data protection and security platform. You'll be measuring and optimizing product performance, designing benchmarks, and collaborating with development teams to implement improvements. It's an individual contributor position that requires deep technical expertise in performance engineering and distributed systems.

Good fit

Ideal candidates have 5+ years of experience in performance engineering or related fields, with a strong background in enterprise infrastructure and distributed systems. A hands-on, analytical working style will thrive in this role.

Worth noting

The position emphasizes collaboration across teams and involves significant analytical work, which may appeal to those who enjoy problem-solving. The role also requires a strong understanding of both hardware and software performance, which could be a stretch for some applicants.

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?

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

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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.

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.

Skills & Tags

data

Aplyr's read

Cohesity is a data management innovator, attracting tech-savvy professionals focused on backup and recovery solutions across diverse environments.
Synthesized from recent postings & public sources

What's promising

•Cohesity's platform addresses complex data management needs, offering robust backup and recovery solutions.
•The company is expanding globally, with recent hires in France, Germany, and the UK.
•Investments in AI and technical roles suggest a focus on innovation and cutting-edge technology.

What to watch

•Cohesity operates in a highly competitive data management market with numerous established players.
•Limited public information about employee satisfaction and work-life balance.
•Rapid global expansion may strain resources and impact operational efficiency.

Why Cohesity

•Cohesity integrates backup and recovery with data management, offering a unified solution.
•The company emphasizes AI in its product development, setting it apart in the data management space.
•Cohesity's focus on diverse environments allows for flexible and scalable data solutions.

Aplyr’s read is generated by AI from public sources. Was it useful?