Performance Engineer - Distributed systems / storage filesystem / Filesystem

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.

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JD:  Performance Engineer

Role Overview:

Cohesity is seeing rapid adoption in enterprises and the scale of deployments is increasing every quarter. Performance is one of the crucial components for providing a seamless user experience when running different workloads. It is the most highly visible and impactful area that has a potential for defining the future directions for Cohesity’s hyperconverged appliance.

Ideal candidate is passionate about performance, has an intuitive understanding of the limits of every layer in the hardware/software stack, has the intellectual rigor to reason about the theoretical limits of our software architecture and own the areas with the highest impact.

Responsibilities:

• Work within the engineering team to own and lead performance measurement and analysis efforts for Cohesity platform.
• Build world-class performance measurement and analysis infrastructure. 
• Analyze and optimize large-scale code and underlying platform
• Design:
  • Performance measurement methodology to benchmark the peak performance
  • Customer-like workloads to characterize and tune steady state behavior
• Analyze performance bottlenecks, root cause issues, file defects, follow up with developers, documentation and other teams on the resolution.
• Able to derive meaningful insights from the collected performance data, articulate performance findings effectively with senior team members to evaluate design choices.
• Develop and automate performance benchmarking and analysis tools 
• Analyze and debug performance issues in customer environments. 
• Optimize CPU, memory, I/O, network and storage usage in our backend infrastructure

Requirements:

• Bachelors or Masters degree in CS or EE.  PhD is a plus.
• Minimum of 5 years of relevant experience in performance analysis/optimization for production software
• Passionate about performance measurement and high bar for quality of the product.
• Creative, independent, self-motivated and willing to learn new technology.
• Knowledge of distributed systems architecture and performance trade-offs.
• Excellent troubleshooting abilities/skills  
• Good knowledge of Linux 
• Proficiency in any of C/C++, Java, Go and Python programming languages. 
• Experience in building large-scale  distributed systems (filesystems, databases, storage, map-reduce frameworks, etc.).
• Experience with systems performance analysis using techniques like CPU profiling, tracing by using standard linux tools.
• Strong analytical and problem solving skills.
• Knowledge of ESXi, HyperV, KVM is a plus.
• Understanding of storage concepts is a plus.

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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 talent@cohesity.comfor 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.