Senior Capacity & Efficiency Engineer - Cloud Scale

Apple Inc.; Seattle (WA); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Employee stock plans

Relocation assistance

Comprehensive health coverage

Job summary

Apple Inc. is seeking a Senior Software Engineer to model, forecast, and optimize infrastructure demand for large-scale cloud services.

You will work with multiple engineering teams to understand applications, workloads, and growth patterns, translating signals into resource demand and capacity requirements. The role blends systems engineering with observability, cloud infrastructure, and capacity planning to improve efficiency without compromising reliability, performance, or scalability.

Qualifications

• 5+ years of software engineering experience with large-scale distributed services.
• Proficiency in Java, Python, or Go and production-grade systems.
• Strong understanding of distributed systems and cloud infrastructure.
• Experience with observability, metrics, logs, and performance data.
• Bachelor’s or Master’s degree in Computer Science or equivalent.

Responsibilities

• Understand complex architectures and translate requirements into resource demand.
• Develop scalable tooling to monitor and predict infrastructure needs.
• Collaborate with application, infrastructure, and SRE teams.
• Drive capacity planning and efficiency improvements.
• Define standards for resource demand modeling across services.

Skills

Java

Python

Go

Distributed systems

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Kubernetes

Job description

Apple Inc. is seeking a Senior Software Engineer to model, forecast, and optimize infrastructure demand for large-scale cloud services.

You will work with multiple engineering teams to understand applications, workloads, and growth patterns, translating signals into resource demand and capacity requirements. The role blends systems engineering with observability, cloud infrastructure, and capacity planning to improve efficiency without compromising reliability, performance, or scalability.