Staff Performance Engineer, Data Protection & Security Platform Engineering
Cohesity · Santa Clara, CA - USA (Office) ·
- Seniority
- Staff
- Employment
- Full time
- Category
- Devops
- Experience
- 10+ years
Interested candidates based outside of the designated areas are welcome to apply, provided they have the indefinite right to work in the job location.
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.
We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design.
Join us on our mission to shape the future of our industry.
As a Staff 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 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
WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:
A minimum of 10 years of experience is required. 10 to 12 years of experience is preferred.
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
Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making is missing
Desirable Skills
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.
#LI-EM1
Disclosure Pursuant to Applicable State Equal Pay Transparency Laws - This position has a starting pay range as listed below. Actual salary depends upon many factors, including a candidate’s skills, qualifications and experience, location, and salary expectations, and therefore a starting salary at the low end, high end, or even above the stated range may be offered. This position may also be eligible for bonus compensation, commission (if in a sales function), and/or equity grants. Additionally, full-time employees are eligible to participate in our comprehensive benefits framework, including health and wellness benefits, vacation, paid holidays and refresh days, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.
Pay Range :
The compensation noted above is based on an annualized hourly rate assuming normal full-time employment.
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, 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 [email protected] 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.