Cloud Performance Engineer

Job Summary

As a Cloud-focused Performance Analyst, you will work as part of a team responsible for modeling, measurement, and analysis of cloud based storage systems’ performance. The overall focus of the Research and Development function, of which 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. 

Essential Functions:

• Create analytical and simulation-based models to predict storage systems performance
• Evaluate design alternatives for enhanced performance, and (potentially) prototype opportunities for performance enhancements
• Measure and analyze product performance to identify performance improvement opportunities
• Design, implement, execute, analyze, interpret, socialize and apply storage oriented performance measurements and their results, including the creation of tools and automation as necessary
• Work closely with development teams to drive the performance improvement agenda

Job Requirements

• Knowledge of performance analysis and modeling techniques, tools and benchmarking.
• Extensive knowledge and experience in computer operating systems, hardware architecture and design, data structures and standard programming practices; systems programming in C is highly desirable. 
• Strong scripting skills (perl, python (primarily within JupyterHub), shell)
• Knowledge of storage and file systems highly desirable
• Exceptional presentation and interpersonal skills
• Strong influencing and leadership skills 
• The ability to make accurate work estimates and develop predictable plans
• A creative and analytical approach to problem solving
• A willingness to work on additional tasks and responsibilities that will positively contribute towards team, department, and company goals
• The ability and willingness to adapt to rapidly changing work environments, and create/enhance automation frameworks (generally python-based) to improve productivity in those environments

Education & Experience

• A minimum of 5 years of experience is required. 6 to 8 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.
   

Compensation
The base salary range for this position is [$138,780]–[$186,560] and will be determined by the candidate's location, qualifications, experience, and education. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.