Meta
Performance & Capacity Engineer
$184K–$257K
Bellevue, WA +3 · Full-time · Posted Sep 4, 2026
- Location
- Bellevue, WA
Menlo Park, CA
Boston, MA
New York, NY - Experience
- 8+ years in performance or software engineering and/or pertinent optimization data science (or equivalent practical experience); 8+ years designing and implementing models and optimization algorithms; 4+ years coding/scripting.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
About the job
Owns Meta-wide infrastructure capacity planning and optimization across servers, data centers, and networks using software systems and mathematical models.
What you'll do
- Build and optimize capacity plans, models, and software systems to balance demand, supply, power, cost, and operational constraints.
- Analyze scenarios, resolve capacity escalations, and recommend infrastructure decisions using data and optimization studies.
- Partner across engineering, operations, product, and finance teams to improve planning processes and scale infrastructure.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 8+ years of experience in performance or software engineering, pertinent optimization data science, or equivalent practical experience; 8+ years designing and implementing models and optimization algorithms.
- 4+ years of experience coding or scripting in languages such as Python, R, Java, C, C++, or PHP.
- Experience with distributed systems at scale, infrastructure operations, cross-functional teams, and optimizing complex systems with large datasets.
Nice to have
- Experience developing multi-phase or multi-year system/software roadmaps.
- Experience in public or private cloud capacity planning and optimization.
Pay
$184,000/year to $257,000/year USD base salary; bonus and equity (amounts not stated)
Tools
Python, R, Java, C, C++, PHP
AI focus
Demonstrate ongoing AI skill development and responsible AI practices; integrate AI tools to optimize or redesign workflows and deliver measurable impact.
Model-written summary · the original posting is authoritative