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Performance & Capacity Engineering - Capacity Planning Optimization

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PythonRJava

Own infrastructure capacity planning for Meta: including Servers, Data Centers, Network
Design, implement and launch software systems to improve capacity planning efficiency and quality, partnering with software engineers
Contribute to end to end capacity planning processes, methodologies, and data to deliver executable and optimized plans
Manage and resolve critical escalations and exceptions in all areas of the capacity planning
Build linear programming models to perform simulation and optimization studies of demand and supply projections, scenario planning, and feasibility analysis while balancing various constraints
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
Partner across Infra: such as platform teams, operations, networking planning, data center planning as well as Product and Finance teams to find the most optimal ways to scale our Infrastructure
Effectively navigate complex tradeoffs and relationships to balance solving for team, cross-functional partner / stakeholders, and Meta company priorities. Balance the need to “keep things running” with longer-term, high-impact projects

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of experience in performance or software engineering and/or optimization pertinent data science or equivalent practical experience
8+ years of experience in designing and implementing models and optimization algorithms
4+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
4+ years of experience with LP solvers such as Xpress or Gurobi
Experience working with distributed systems at scale
Experience in infrastructure operations and technical infrastructure knowledge

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