Performance & Capacity Engineer - Planning Optimization
full-time•Boston, Seattle, New York, Bellevue, Menlo Park•$117k - $181k
About this role
Meta is seeking a Performance & Capacity Engineer to join the Capacity Engineering & Analysis team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network).
This role will focus on creating and optimizing global and regional capacity plans at various altitudes to balance service, infrastructure, financial, and business constraints, directly managing $billions of investment per year. This role will cover all Meta products, platforms, and physical hardware, from tactical near-term granular optimized plans up through the most strategic levels with company level impact at the CxO level.
We do this primarily by building software and mathematical optimization models, not manual planning. You will accomplish these goals by using a combination of capacity/performance engineering and/or operations research/data science skills.
This is one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams to power the rapid growth of Meta’s products. This engineer will help to ensure optimal operation of our infrastructure from both a cost and technology perspective, with millions of servers, Gigawatts of data center capacity, and cutting edge technology including some of the largest AI infrastructure builds in the world. Help build one of the largest fleets, powering one of the largest internet services in the world! This position is full-time.
$117,000/year to $181,000/year + bonus + equity + benefits
Responsibilities
- Own both technical as well as business outcomes for capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently
- Build automated, scalable data and analytics solutions by developing state-of-the-art automation, mathematical optimization, and/or AI models using Meta’s unparalleled data infrastructure
- Use the tools you build to own the business outcomes: develop and analyze variety of business and technical scenarios to drive the highest levels of executive decision making around infrastructure/product, up to the CxO level
- 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
- Greenfield work: 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
- A lot of other cool work: Identify capacity-related issues proactively and work across technical and business teams to define and implement solutions
Minimum Qualifications
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Minimum 4 years of experience working with distributed systems at scale
- Proficient in any coding language and designing software systems
- Desire to learn about capacity planning and optimization
- Experience managing ambiguity. Experience learning and applying new business and technical concepts
Preferred Qualifications
- MS or PhD in Computer Science, Operations Research, or other technical field
- 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
$117,000/year to $181,000/year + bonus + equity + benefits
What you'll do
- The Performance & Capacity Engineer will own technical and business outcomes for capacity planning across all Meta products and services. This includes building automated data solutions and collaborating with various teams to optimize infrastructure and service scaling.
About Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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.
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Frequently Asked Questions
What does Meta pay for a Performance & Capacity Engineer - Planning Optimization?
Meta offers a competitive compensation package for the Performance & Capacity Engineer - Planning Optimization role. The salary range is USD 117k - 181k per year. Apply through Clera to learn more about the full compensation details.
What does a Performance & Capacity Engineer - Planning Optimization do at Meta?
As a Performance & Capacity Engineer - Planning Optimization at Meta, you will: the Performance & Capacity Engineer will own technical and business outcomes for capacity planning across all Meta products and services. This includes building automated data solutions and collaborating with various teams to optimize infrastructure and service scaling..
Is the Performance & Capacity Engineer - Planning Optimization position at Meta remote?
The Performance & Capacity Engineer - Planning Optimization position at Meta is based in Boston, Massachusetts, United States and Seattle, Washington, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Performance & Capacity Engineer - Planning Optimization position at Meta?
You can apply for the Performance & Capacity Engineer - Planning Optimization position at Meta directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.