below marketmost similar roles pay hereabove market
This role pays more than
69%
of similar roles. Most pay
$158,878–$226,350
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$193k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3546 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2746 roles with salary data.
JOB TITLE: Performance & Capacity Engineer, Infrastructure Services
The Performance & Capacity Engineer, Infrastructure Services joins the global network infrastructure team within the Information Systems and Technology organization. This role focuses on developing data-driven solutions for capacity planning, traffic forecasting, and performance optimization across the Core Backbone and Internet Edge network. The engineer will build mathematical models, statistical simulations, and scalable data processing pipelines to analyze large-scale network telemetry. Key responsibilities include identifying traffic patterns, performing scenario analysis for link failures, and designing interactive dashboards for data visualization. The position requires proficiency in Python, relational or non-relational databases like PostgreSQL or NoSQL, and data libraries such as Pandas and Scikit-Learn. Candidates will apply AI/ML techniques and time-series modeling to solve complex network planning problems and automate anomaly detection within global network operations.
Develop mathematical and statistical models to support capacity planning, demand forecasting, and routing optimization.
Run scenario analyses on traffic growth, link failures, and planned upgrades to test network capacity.
Analyze large-scale network telemetry and performance datasets to identify traffic patterns and utilization trends.
Design and develop interactive dashboards and data visualizations to communicate network performance and forecasting insights.
Build scalable data processing pipelines to collect, transform, and analyze large-scale network telemetry.
Apply AI/ML techniques and statistical analysis to automate anomaly detection and uncover operational insights.
Leverage automation and AI-assisted workflows to enhance data analysis and network capacity planning.
What we're looking for
Bachelor’s in Computer Science, Data Science, or equivalent practical experience.
Experience in software development, applied data science, data engineering, or equivalent hands-on project experience.
Experience with mathematical modeling, forecasting, regression analysis, or time-series modeling.
Proficiency in Python or a similar programming language for data analysis and developing analytical tools.
Hands-on experience working with relational or non-relational databases like PostgreSQL, MySQL, NoSQL, or time-series stores.
Experience developing data visualizations, dashboards, or analytical reporting tools.
Experience building and deploying at least one web application or internal tool end to end.
Master’s in Computer Science, foundational understanding of network concepts, familiarity with Linux/Unix, and experience with data analysis libraries (preferred).
Java
Python
Go
C#
Distributed Systems
OCI
Kubernetes
Infrastructure as Code
CI/CD
APIs
Distributed Databases
Data Pipelines
ETL
Microservices
Containers
Monitoring
Observability
Encryption
System Design