AI-Driven Full-Stack Engineer: Web & Systems

SNAP, Inc.

San Francisco (CA)

On-site

USD 157,000 - 235,000

Full time

4 days ago
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Job summary

Snap Inc. is hiring a Full Stack Engineer to join Snap Inc. The role involves building state-of-the-art mobile and desktop web applications, following top-notch design and implementation practices, and delivering performant user interfaces.

You will work on shared libraries, analyze metrics, and use AI tools while ensuring secure, production-ready code. Preferred candidates have strong JS/TS, Java, Golang, Node.js, Python skills, front-end frameworks, unit testing, and a passion for scalable

Qualifications

  • Bachelor's degree in a technical field such as computer science or equivalent practical experience
  • 2+ years of post-Bachelor software development experience; or Master’s degree +1 year; or PhD in a technical field
  • Experience with full stack web development

Responsibilities

  • Build state-of-the-art mobile and desktop web apps and systems
  • Follow high-quality design and implementation practices
  • Implement features and UIs to optimize performance of user-facing products
  • Contribute to Snap’s engineering culture by working on shared libraries and systems
  • Log and analyze operational and engagement metrics
  • Utilize AI tools and high-velocity engineering workflows to design and ship scalable services with secure, production-ready code

Skills

JavaScript/TypeScript
HTML
CSS
Java
Golang
Node.js
Python
React
Angular
Vue
OO & FP
DDD
Unit testing
UI design
UI components
JS performance
AI tooling
AI adaptability

Education

Bachelor's degree in CS/Tech field
Master's degree in technical field
PhD in technical field

Tools

WebGL
GraphQL
Kubernetes
NoSQL
Redis/Memcache
AWS/GCP

Job description

Snap Inc. is hiring a Full Stack Engineer to join Snap Inc. The role involves building state-of-the-art mobile and desktop web applications, following top-notch design and implementation practices, and delivering performant user interfaces.

You will work on shared libraries, analyze metrics, and use AI tools while ensuring secure, production-ready code. Preferred candidates have strong JS/TS, Java, Golang, Node.js, Python skills, front-end frameworks, unit testing, and a passion for scalable

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