Capacity Engineer

Meta•Menlo Park, CA

About The Position

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Requirements

Requires Master’s degree (or foreign degree equivalent) in Computer Science, Electrical Engineering, Operations Research, or a related technical field.
Requires a completion of one graduate-level course, one research project, or one internship involving the following skills: Coding and scripting in C++, Python, PHP or Java
Programming with Relational Databases and SQL, utilizing Code Editors, and revision control systems
Improving code base performance using algorithm design
Analyzing and debugging server performance issues
Designing largescale systems with established tolerance, consistency, and availability guarantees
Creating monitoring/reporting/data mining tools to do performance and capacity-related tests and analysis

Responsibilities

Work with Product Engineering, Infrastructure Engineering, and Data Engineering team to find optimal way to scale web infrastructure.
Own end-to-end product design, launch, and operation.
Support architecture design, define networking requirements, and help build code from scratch to support new product launches.
Tackle the state-of-the-art hardware performance issues.
Analyze and debug difficult server performance issues (latest in industry), identify bottlenecks and optimize product/service performance to improve user experience.
Work with software developers closely to improve code base performance using algorithm redesign, reduce resource consumption, and shorten request latency.
Own and drive overall capacity planning work for all different products/services and recommend data center (DC) expansion plan.
Create monitoring, reporting, and data-mining tools to do performance and capacity-related tests and analysis.
Run capacity and performance experiments to determine scaling and utilization parameters for various service tiers.
Present performance and capacity roadmap for critical project and cost analyses in presentation and form monthly to executive teams.
Identify capacity-related issues proactively and work with systems, network, application operations and engineering teams to discover resolutions.