Primary record

Software Engineer - Traffic

Figma Indexed employerSan Francisco, CA • New York, NY • United States · Canada · US
Source-hosted applyChecked 1h agoInternship
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Workplace

remote

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!

Server Platform is at the core of Figma's infrastructure foundation! This area owns the foundational layer of infrastructure that underpins all other infrastructure and application services at Figma. The Foundation team under Server Platform is Infrastructure's infrastructure. This team enables the efficient operation and rapid development of reliable infrastructure at Figma through opinionated platforms.

We are building the V2 of Infrastructure and setting key initiatives that will set the tone for infrastructure for the next half decade. We're looking for thoughtful and technical leaders with experience focused on designing the next generation edge and network to handle our growing customer traffic and services.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

• Design, build and operate scalable distributed systems and services that power Figma's innovative tools for design and collaboration

• Develop and secure our internal and edge network running on AWS

• Help design and deploy an internal service mesh network which can support Figma's growing portfolio of services and features

• Develop intelligent detection and auto-scaling countermeasures for DDoS threats

• Debug and resolve production issues across services and multiple layers of the stack, reducing mean time to resolution for critical incide

Requirements

Department: Engineering