Performance and Capacity Engineer

Meta · Big Tech · Menlo Park, CA

This role is responsible for capacity planning for all of Meta's software products and services, focusing on scaling server and data center resources efficiently. The engineer will develop and analyze data to inform executive decision-making regarding infrastructure and products, manage escalations, and optimize the intersection of hardware, infrastructure, and software. This involves close collaboration with various engineering and operations teams, as well as Finance, to balance cost efficiency with technical considerations. The role requires experience in mathematical optimization, performance or capacity engineering, planning and analytics, and capacity planning for large-scale cloud environments.

What you'd actually do

Own capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently.
Develop and analyze business and technical data and scenarios to drive the highest levels of executive decision making around infrastructure/product, up to the CxO level.
Deeply understand End To End capacity planning processes, methodologies, and data to deliver an executable and optimized Capacity Plan
Manage and resolve critical escalations and exceptions at all layers of the stack: product, platform, physical infrastructure
Work closely with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams to find the most optimal ways to scale our infrastructure and place our services.

Skills

Required

Master's degree (or foreign degree equivalent) in Computer Science, Operations Research, or a related field
3 years of work experience in the job offered or in a computer-related occupation
Experience with mathematical optimization
Practical experience and demonstrated success in performance or capacity engineering
Experience with planning and analytics
Experience working with variety of technical and non technical teams
Direct experience in capacity planning for a major private or public cloud

What the JD emphasized

capacity planning
scale server and data center resources
business and technical data and scenarios
infrastructure/product
CxO level
End To End capacity planning processes
executable and optimized Capacity Plan
critical escalations and exceptions
optimize at the intersection of hardware, infrastructure, and software
software service owners
Production Engineering
Server Hardware Engineering
Server Supply Chain
Network Engineering
Data Center Design
Operations
Planning teams
balance cost efficiency with technical and product considerations
define problem statements
collect data
build analytical models
drive change and optimization
strategic levels
capacity-related issues proactively
define and implement solutions
mathematical optimization
performance or capacity engineering
planning and analytics
major private or public cloud

Read full job description

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Responsibilities

Own capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently. Develop and analyze business and technical data and scenarios to drive the highest levels of executive decision making around infrastructure/product, up to the CxO level. Deeply understand End To End capacity planning processes, methodologies, and data to deliver an executable and optimized Capacity Plan Manage and resolve critical escalations and exceptions at all layers of the stack: product, platform, physical infrastructure Partner across the engineering technical landscape to optimize at the intersection of hardware, infrastructure, and software. Work closely with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams to find the most optimal ways to scale our infrastructure and place our services. Partner with Finance to balance cost efficiency with technical and product considerations. Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization at the most strategic levels. Identify capacity-related issues proactively and work across technical and business teams to define and implement solutions.

Qualifications

Master's degree (or foreign degree equivalent) in Computer Science, Operations Research, or a related field and 3 years of work experience in the job offered or in a computer-related occupation Requires 3 years of experience in the following: Experience with mathematical optimization Practical experience and demonstrated success in performance or capacity engineering Experience with planning and analytics Experience working with variety of technical and non technical teams, AND Direct experience in capacity planning for a major private or public cloud