Apply on Employer Site

Meta · 3 days ago

Performance & Capacity Engineer - Planning Optimization

Seattle, WA

Full-time

Onsite

Mid Level

$117K/yr - $181K/yr

4+ years exp

Meta is seeking a Performance & Capacity Engineer to join the Capacity Engineering & Analysis team to focus on site-wide performance and capacity optimization. This role involves creating and optimizing global and regional capacity plans while collaborating across various engineering and business teams to ensure optimal operation of Meta's infrastructure.

Computer Software

Comp. & Benefits

Responsibilities

Own both technical as well as business outcomes for capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently

Build automated, scalable data and analytics solutions by developing state-of-the-art automation, mathematical optimization, and/or AI models using Meta’s unparalleled data infrastructure

Use the tools you build to own the business outcomes: develop and analyze variety of business and technical scenarios to drive the highest levels of executive decision making around infrastructure/product, up to the CxO level

Partner across the engineering technical landscape to optimize at the intersection of hardware, infrastructure, and software. Work closely with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams to find the most optimal ways to scale our infrastructure and place our services

Partner with Finance to balance cost efficiency with technical and product considerations

Greenfield work: 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

A lot of other cool work: Identify capacity-related issues proactively and work across technical and business teams to define and implement solutions

Qualification

Distributed systemsMathematical optimizationCapacity planningCoding proficiencyPerformance engineeringAnalytical skillsLearning agilityCross-functional collaboration

Required

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

Minimum 4 years of experience working with distributed systems at scale

Proficient in any coding language and designing software systems

Desire to learn about capacity planning and optimization

Experience managing ambiguity. Experience learning and applying new business and technical concepts