Meta
Performance & Capacity Engineer - Capacity Planning Optimization(Technical Leadership)
$219K–$301K
Menlo Park, CA +3 · Full-time · Posted Sep 14, 2026
- Location
- Menlo Park, CA
Seattle, WA
Boston, MA
New York, NY - Experience
- 10+ years in Performance, Capacity, or software engineering.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
About the job
Leads and builds software-driven systems and processes for planning and optimizing Meta’s global infrastructure capacity, connecting business goals with technical execution.
What you'll do
- Own capacity planning for Meta’s software products and server and data center resources.
- Design and build scalable planning systems for service placement, resource allocation, traffic shifts, migrations, and hardware refresh.
- Lead cross-functional engineering and business efforts to optimize capacity, cost, and infrastructure execution.
What they ask for
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 10+ years of experience in Performance, Capacity, or software engineering.
- Proficiency in Python, C++, or other coding languages; experience designing large-scale software systems.
- Experience with large-scale technical infrastructure and distributed systems; demonstrated success leading large engineering projects.
Nice to have
- Experience with mathematical optimization and solvers.
- Experience with technical infrastructure planning or capacity planning.
Pay
$219,000/year to $301,000/year (base salary)
Tools
Python, C++
AI focus
Integrate AI tools to optimize or redesign workflows and deliver measurable impact; apply responsible and ethical AI practices; develop AI skills such as prompt/context engineering and agent orchestration.
Model-written summary · the original posting is authoritative