Performance & Capacity Engineer, Infrastructure Services

Apple

19h

About The Position

Join Apple’s Information Systems and Technology (IS&T) organization, which supports Apple’s technology systems and global operations. Infrastructure Services is part of IS&T and manages data center equipment and systems that provide compute, storage, and networking services across Apple.

As a member of the global network infrastructure team, the Performance & Capacity Engineer develops data-driven solutions for capacity planning, traffic forecasting, and performance optimization across Apple’s Core Backbone and Internet Edge network. The role analyzes large-scale network telemetry and performance datasets to identify patterns and trends and generate actionable insights. It applies mathematical modeling, statistical analysis, simulation, and predictive analytics to forecast capacity needs, evaluate infrastructure demands, and address network planning and optimization problems. The engineer also creates data visualizations and interactive dashboards to communicate findings and support engineering decisions, and explores AI/ML techniques to improve forecasting, detect anomalies, and automate analytical insights.

Requirements

• Bachelor’s degree 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, mathematical modeling, and developing analytical tools.
• Hands-on experience with relational or non-relational databases, such as PostgreSQL, MySQL, NoSQL, or time-series stores.
• Experience developing data visualizations, dashboards, or analytical reporting tools.
• Have built and deployed at least one web application or internal tool end to end, such as Flask or FastAPI with React, Dash, Streamlit, or similar.

Nice To Haves

• Master’s degree in Computer Science or equivalent practical experience.
• Foundational understanding of network concepts, including the TCP/IP stack, IP routing basics, or network telemetry such as flow data and telemetry streams.
• Familiarity with Linux/Unix environments, containerization such as Docker or Kubernetes, and CI/CD pipelines.
• Experience with data analysis libraries such as Pandas, NumPy, SciPy, statsmodels, or Scikit-Learn.

Responsibilities

• Develop data-driven solutions for network capacity planning, traffic forecasting, and performance optimization across Apple’s Core Backbone and Internet Edge network.
• Analyze large-scale network telemetry and performance datasets to uncover traffic patterns, identify trends, and generate actionable insights.
• Apply mathematical modeling, statistical analysis, simulation, and predictive analytics to forecast capacity requirements and evaluate infrastructure demands.
• Solve complex network planning and optimization problems.
• Design data visualizations and interactive dashboards to communicate analytical findings and support data-driven engineering decisions.
• Explore AI/ML techniques to improve forecasting accuracy, identify anomalies, and automate analytical insights.
• Collaborate with network architecture and engineering teams.

What This Job Offers

• Job Type: Full-time