Performance and Capacity Optimization Engineer

1 week ago


Menlo Park, California, United States META Full time
About the Role

We are seeking a highly skilled Performance and Capacity Optimization Engineer to join our Capacity team at Meta. As a key member of our team, you will be responsible for planning and delivering capacity to our products and platforms, ensuring optimal operation and growth of our computing resources from both a cost and technology perspective.

Key Responsibilities
  • Collaborate with Product Engineering, Infrastructure Engineering, and Data Engineering teams to identify and implement optimal capacity management strategies and scale our infrastructure.
  • Analyze and debug complex server performance issues, identify bottlenecks, and optimize product/service performance to improve user experience.
  • Proactively identify capacity-related issues and work with systems, network, application operations, and engineering teams to discover resolutions.
  • Develop innovative tools to monitor billions of user requests, including monitoring, reporting, and data-mining tools for performance and capacity-related tests and analysis.
  • Design and implement tooling and automation to optimize capacity accounting, resource management, and infrastructure operations.
  • Analyze and resolve operational issues in Meta's infrastructure.
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
  • 8+ years of experience in performance or software engineering.
  • 8+ years of experience in coding and scripting languages such as Python, Java, C, C++, PHP.
  • Experience working with large-scale systems.
  • Experience working with cross-functional teams.
  • Experience with software development practices such as source control, code reviews, unit testing, debugging, and profiling.
Preferred Qualifications
  • MS or PhD degree in Computer Science, Electrical Engineering, Operations Research, or a relevant technical field.
  • Understanding of infrastructure capacity management tools and processes.
  • Experience in infrastructure operations and technical infrastructure knowledge.
  • Experience working on ambiguous problems and managing uncertainty.


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