Senior iCloud Efficiency Engineer

Apple • San Diego, CA

2d

About The Position

In Apple's iCloud services organization, efficiency is not just a technical
goal; it's an essential part of our commitment to environmental sustainability
and optimal resource utilization. The iCloud Efficiency team plays a pivotal
role in ensuring that our cloud services are not only robust and reliable but
also efficiently utilize resources at scale. As an iCloud Efficiency Engineer,
you will work at the intersection of systems engineering, infrastructure
strategy, applied analytics, and ML-driven forecasting and optimization. You
will collaborate closely with experts to advance demand signals, forecasting
strategies, and optimization approaches for Private Cloud Compute (PCC), vendor
storage, edge, and trend/anomaly detection. Your work will directly impact
millions of users globally by improving utilization, reducing unit costs, and
informing long-term capital expenditure (CapEx) and operational expenditure
(OpEx) decisions for Apple Intelligence and many other products and services.
Our team is at the forefront of driving efficiency in one of the world's largest
cloud infrastructures, supporting billions of devices globally.

The iCloud Efficiency Engineer will be a key player in Apple’s ongoing efforts
to improve the efficiency of its cloud services. This role involves in-depth
analysis of infrastructure usage patterns, and data-driven capacity planning to
ensure scalability and reliability while minimizing resource wastage.

Requirements

• 3+ years of relevant experience in large-scale cloud services or similar environments
• Proven experience in capacity planning of large-scale services, with a strong understanding of the complexities involved in scaling cloud-based solutions
• Experienced in developing cost models and strategies for software services, ensuring optimal resource utilization and cost-effectiveness.
• Exceptional analytical and problem-solving skills, with the ability to communicate complex ideas clearly and effectively to cross-functional teams
• Hands-on experience with platform observability tools, enabling deep insights into service performance and helping to drive optimizations
• Experienced in developing cost models and strategies for software services, ensuring optimal resource utilization and cost-effectiveness
• Bachelor or Master's degree in Computer Science, Engineering, or a related field

Nice To Haves

• Strong software engineering background and experience with ML-based modeling, time-series forecasting, and data-driven decision making for cloud services
• PhD in CS or related field with a focus on machine learning, optimization, or large-scale distributed systems

What This Job Offers

• Job Type: Full-time
• Career Level: Senior