Senior Cloud Engineer - Capacity Planning and Operations
AI Summary ✨
Requirements
7+ years of experience in technical program management, with majority years focused on cloud infrastructure management, capacity planning, and/or resource demand forecasting.
Proven experience in managing cloud environments at scale, including strong experience with OCI, AWS, Azure and/or GCP.
Extensive experience in cloud cost optimization, including hands-on experience with cloud vendor pricing models, Reserved Instances, CUDs/Reservations, and other cost and capacity optimization strategies.
Bachelor’s degree in Computer Science, Engineering, or a related field.
Strong understanding of cloud architecture, resource provisioning, and capacity management.
Good knowledge of cloud vendor-specific tools and features for resource utilization and provisioning, cost optimization, and pricing models.
Nice to Haves
Experience with advanced analytics, machine learning, or AI-driven forecasting for resource planning and cost optimization.
Experience in rapidly scaling environments, with a focus on driving both performance and cost efficiency in cloud resource management.
What You'll Be Doing
Understand and execute on all aspects of capacity operations, both on-prem and vendor/cloud.
Establish good relationships internally with capacity stakeholders (product and platform engineering), as well as external vendors to align demand with supply.
Provide visibility into capacity availability and allocation potential.
On-call work for capacity scaling operations to align with business volatility.
Perks and Benefits
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.
Collaborative work environment with opportunities for growth and impact.
Opportunity to work at the forefront of cloud technology and infrastructure management.