KPG99 INC is a company focused on cloud and on-prem capacity planning, and they are seeking a Cloud Capacity Performance Engineer. This role involves planning and managing cloud resources, ensuring efficient capacity utilization, and collaborating with various teams to address capacity-related issues.
Responsibilities:
- Cloud and On-Prem capacity planning: plans for how to scale resources and most efficiently
- Cloud and On-Prem capacity right sizing: Resources descale or upscale based on the utilization
- Cloud Capacity and On-Prem forecasting: Resource future needs
- Work closely with IT development Production Engineering, Server Hardware Engineering, Data Center Operations
- Partner with Finance to balance cost efficiency with technical and product considerations
- Identify capacity-related issues proactively and work across technical to define and implement solutions
Requirements:
- Bachelor's Degree in Computer Science or related field
- 5 or more years as SQL Server Administrator with strengths in Performance Tuning and Capacity Planning both on-prem and cloud
- 5 or more years of direct experience in capacity planning and right-sizing for a major private or public cloud
- 5 or more years of Practical experience and demonstrated success in Capacity management and Performance Engineering best practices
- Must be passionate about contributing to an organization focused on continuously improving consumer experiences
- Direct experience in capacity planning and right-sizing for a major private or public cloud
- Practical experience and demonstrated success in Capacity management and Performance Engineering best practices
- Experience with managing ambiguity, effective intellectual curiosity
- Cloud capacity planning: plans for how to scale resources and most efficiently
- Cloud capacity right sizing: Resources descale or upscale based on the utilization
- Cloud Capacity forecasting: Resource future needs and distribution
- Excellent communication skills and the ability to present technical information to application teams and leadership
- MS in Computer Science
- Experience with mathematical optimization
- Experience working with distributed systems at scale