Meta Platforms, Inc.

Performance & Capacity Engineer - Planning Optimization

Menlo Park, CA, US

Remote
Full-time
2 days ago
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Summary

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. We do this primarily by building software and mathematical optimization models, not manual planning. This role will be uniquely positioned to optimize these capacity plans and scalably manage exceptions at the most strategic levels with company level impact. 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 role 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 advanced AI, Metaverse, etc. Help build one of the largest fleets, powering one of the largest internet services in the world! This position is full-time.Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 8+ years of experience in performance or software engineering 5+ years of experience in coding & scripting languages such as Python, Java, C, C++, PHP Experience working with distributed systems at scale Experience in infrastructure operations and technical infrastructure knowledge Experience working with cross-functional teams Experience managing ambiguity, proven intellectual curiosity MS or PhD degree in Computer Science, Mathematics, Data Science, Operations Research, or other technical field Track record of success in capacity planning / management for a major private or public cloud

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