Staff Performance Engineer, Data Protection & Security Platform Engineering

Cohesity•Santa Clara, CA

10d•Hybrid

About The Position

Cohesity is a leader in AI-powered data security and management. As a Staff Performance Engineer, 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 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.

Requirements

A minimum of 10 years of experience is required.
A Bachelor of Science, Master’s of Science, or PhD Degree in Electrical Engineering or Computer Science; or equivalent experience is required.
Knowledge of performance analysis and modeling techniques, tools and benchmarking.
Extensive knowledge and experience in computer operating systems, hardware architecture and design and data structures
Strong scripting skills (GoLang, Python)
Exceptional presentation and interpersonal skills
The ability to make accurate work estimates and develop predictable plans
A creative and analytical approach to problem solving

Nice To Haves

10 to 12 years of experience is preferred.
Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making is missing
Knowledge of storage, file systems and backup/restore.
Knowledge of Cloud instances, storage and networking resource limits
Understanding of performance tradeoffs when designing on-prem and cloud systems
The ability and willingness to adapt to rapidly changing work environments, and create/enhance automation frameworks (generally python-based) to improve productivity.

Responsibilities

Measure and analyze product performance to identify performance improvement opportunities
Design, implement, execute, analyze, interpret, socialize and apply storage-oriented performance workloads and their results, including the creation of tools and automation as necessary
Work closely with development teams to drive the performance improvement agenda
Evaluate design alternatives for enhanced performance, and prototype opportunities for performance enhancements
Create analytical and simulation-based models to predict storage systems performance
Responsible for non-routine and unstructured tasks, requiring creative solutions with more interdependencies and with processes that are less defined
Apply attained experiences and knowledge in solving problems that are complex in scope and which require requiring in-depth evaluation
Work effectively with Engineer to Vice-President to Product management level employees within the function, across functions and with external parties
Successfully convey information to stakeholders at many levels related to the position
Work effectively with senior engineers within Business Unit
Participate as a proactive contributor and subject matter expert on team projects
Demonstrate favorable results through regular coaching and mentoring others