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.
Responsibilities
Work with Product Engineering, Infrastructure Engineering, and Data Engineering teams to find the optimal way to scale the infrastructure, which encompasses tens of billions of user requests, hundreds of peta bytes of data, and thousands of giga bps of network flow. Own end-to-end product design, launch, and operation. Support architecture design, define networking requirement, and help code build from scratch to support new product launch. Tackle the state-of-the-art hardware performance issues as well as analyze and debug difficult server performance issues (latest in industry), identify bottlenecks, and optimize product/service performance to improve user experience. Solve the hardest software performance issues by working with software developers to improve code base performance (e.g. algorithm redesign), and reduce resource consumption and shorten request latency. Plan the largest server and datacenter capacity and own and drive overall Meta capacity planning work for all different products/services and recommend DC expansion plan. Develop tools to monitor billions of user requests by writing monitoring, reporting, data-mining tools to do performance and capacity-related tests and analysis. Provide the deepest visibility to what is going on for all products. Run capacity and performance experiments to determine scaling and utilization parameters for various service tiers. Own company server budget and track it. Present performance and capacity roadmaps for critical project and cost analyses in presentation and written for monthly to executive teams. Work with financial analysts, operations and engineering to perform cutting-edge technologies investigation and cost analysis. Identify capacity-related issues proactively and work with systems, network, application operations and engineering teams to discover resolutions. Telecommuting from anywhere in the U.S. allowed.
Qualifications
Master’s degree (or foreign degree equivalent) in Computer Engineering, Computer Science, Engineering, Applied Sciences, Mathematics, Physics, Software Engineering, or related field and 2 years of work experience in the job offered or a related occupation Requires 2 years of experience in the following: Analyze and debug industry-standard language of C, C++, Java or C# Building large-scale infrastructure applications Designing and completing medium to large features independently without guidance Experience owning a particular component, feature or system Python, PHP, or Haskell Relational databases and SQL Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce) Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting Core web technologies: HTML, CSS, or JavaScript Build highly-scalable performant solutions Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction, AND Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems distributed systems